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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple><div class=WordSection1><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal'><span lang=EN-US style='font-family:"Times New Roman","serif"'>Apologies for cross-posting…<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman","serif"'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><span lang=EN-US style='font-family:"Times New Roman","serif"'>**********************************************************************************<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><b><span lang=EN-US style='font-family:"Times New Roman","serif"'>Pattern Recognition: special issue on “Sparse representation for event recognition in video surveillance”, <o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><b><span lang=EN-US style='font-family:"Times New Roman","serif"'>Submission deadline: </span></b><b><span style='font-family:"Times New Roman","serif"'>March 15</span></b><b><span style='font-family:"Times New Roman","serif"'>, 20</span></b><b><span style='font-family:"Times New Roman","serif"'>12</span></b><b><span lang=EN-US style='font-family:"Times New Roman","serif"'><o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><span lang=EN-US style='font-family:"Times New Roman","serif"'>**********************************************************************************<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><span lang=EN-US style='font-family:"Times New Roman","serif"'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal;text-autospace:none'><b><span lang=EN-US style='font-family:"Times New Roman","serif"'>Introduction <o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;line-height:13.5pt;background:white'><span style='font-family:"Times New Roman","serif"'>Understanding</span><span style='font-family:"Times New Roman","serif"'> and interpreting</span><span style='font-family:"Times New Roman","serif"'> object behaviours based on video analysis </span><span style='font-family:"Times New Roman","serif"'>has witnessed tremendous progress in the last twenty years. However, the performance of finished systems still needs to be significantly improved, and many challenges remain to be solved. One of these challenges is that there is a gap between the primitive information directly extracted from images and semantic representations. </span><span style='font-family:"Times New Roman","serif"'>To </span><span style='font-family:"Times New Roman","serif"'>bridge this gap</span><span style='font-family:"Times New Roman","serif"'>, </span><span style='font-family:"Times New Roman","serif"'>a number of approaches based on features (e.g. SIFT, HoG and SURF) have been reported to address the coherence between the extracted features and their semantic interpretations. Unfortunately, due to feature redundancy and complexity, these primitive features do not always lead to consistent or semantically meaningful representations. <o:p></o:p></span></p><p style='text-align:justify'><span style='font-size:11.0pt'>In recent years, sparse signal representation has proven to be an effective tool for representing and compressing images. It has been demonstrated that optimal decomposition of the signals using appropriately designed bases (e.g. wavelets, Fourier coefficients or spatio-temporal words) can lead to less ambiguity/uncertainty and computational complexity in image interpretation and representation. In spite of its success, sparsity analysis still has limitations in terms of computational efficiency and interpretation accuracy. As a result, continuous efforts are currently being made towards adaptive sparsity transformations of morphological data such as extracted events in video surveillance.<o:p></o:p></span></p><p style='text-align:justify'><span style='font-size:11.0pt'>The primary </span><span style='font-size:11.0pt'>purpose </span><span style='font-size:11.0pt'>of this special issue </span><span style='font-size:11.0pt'>is to organise a collection of recently developed </span><span style='font-size:11.0pt'>analysis techniques based on sparse representations for understanding</span><span style='font-size:11.0pt'>/interpreting</span><span style='font-size:11.0pt'> video analysis of object behaviours. This includes object detection and tracking, segmentation, spatial and temporal features extraction, human body modelling and synthesis, event </span><span style='font-size:11.0pt'>recognition,</span><span style='font-size:11.0pt'> behaviour learning</span><span style='font-size:11.0pt'> and application</span><span style='font-size:11.0pt'>s. This special issue is intended to be an international forum for researchers to report the recent</span><span style='font-size:11.0pt'> </span><span style='font-size:11.0pt'>developments in th</span><span style='font-size:11.0pt'>is</span><span style='font-size:11.0pt'> field</span><span style='font-size:11.0pt'> in an original research paper style</span><span style='font-size:11.0pt'>.<span style='color:black'><o:p></o:p></span></span></p><p class=MsoNormal><b><span style='font-family:"Times New Roman","serif"'>Topics<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;line-height:13.5pt;background:white'><span style='font-family:"Times New Roman","serif"'>The topics include, but are not limited to:<o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparse representation for event search and retrieval <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparse learning in motion t</span><span style='font-family:"Times New Roman","serif"'>ra</span><span style='font-family:"Times New Roman","serif"'>jectory analysis</span><span style='font-family:"Times New Roman","serif"'> <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Object detection and t</span><span style='font-family:"Times New Roman","serif"'>racking </span><span style='font-family:"Times New Roman","serif"'>using sparse inference </span><span style='font-family:"Times New Roman","serif"'> <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparse representation for crowd behaviour analysis <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Occlusion and segmentation errors handling <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparse representation for 2D/3D articulated human body modelling <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparsity analysis for modelling and learning object behaviours <o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:-21.0pt;line-height:13.5pt;mso-list:l2 level1 lfo1;background:white'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>l<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Sparse interpretations of object behaviours<o:p></o:p></span></p><p class=MsoListParagraph style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:20.25pt;margin-bottom:.0001pt;text-indent:0cm;line-height:13.5pt;background:white'><span style='font-family:"Times New Roman","serif"'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-family:"Times New Roman","serif"'>Paper submission<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:13.5pt;background:white'><span style='font-family:"Times New Roman","serif"'>Before submission, authors should carefully read over the journal's Author Guidelines, which are located at: </span><a href="http://www.elsevier.com/wps/find/journaldescription.cws_home/328/authorinstructions"><span style='font-family:"Times New Roman","serif"'>http://www.elsevier.com/wps/find/journaldescription.cws_home/328/authorinstructions</span></a><span style='font-family:"Times New Roman","serif"'>.</span><span style='font-family:"Times New Roman","serif"'> </span><span style='font-family:"Times New Roman","serif"'> <o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:13.5pt;background:white'><span style='font-family:"Times New Roman","serif"'>Prospective authors should submit an electronic copy of their complete manuscript </span><span style='font-family:"Times New Roman","serif"'>(6-15 pages in the Pattern Recognition publication format) through the journal manuscript tracking system at the web site: </span><a href="http://ees.elsevier.com/pr/"><span style='font-family:"Times New Roman","serif"'>http://ees.elsevier.com/pr/</span></a><span style='font-family:"Times New Roman","serif"'>, indicating that their contribution is for the special issue “Sparse representation for event recognition in video surveillance.” Submitted manuscripts will be reviewed according to the peer review policy of Pattern Recognition.</span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;line-height:13.5pt;background:white'><b><span style='font-family:"Times New Roman","serif"'>Important Dates</span></b><b><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></b></p><table class=MsoNormalTable border=0 cellpadding=0><tr><td width=160 style='width:120.0pt;padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'>Manuscript Due<o:p></o:p></span></p></td><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal align=center style='text-align:center;line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'> March 15</span><span style='font-family:"Times New Roman","serif"'>, 20</span><span style='font-family:"Times New Roman","serif"'>12<o:p></o:p></span></p></td></tr><tr><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'>F</span><span style='font-family:"Times New Roman","serif"'>irst Round of Reviews<o:p></o:p></span></p></td><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal align=center style='text-align:center;line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'> June 15</span><span style='font-family:"Times New Roman","serif"'>, 201</span><span style='font-family:"Times New Roman","serif"'>2<o:p></o:p></span></p></td></tr><tr><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'>Second round of Reviews <o:p></o:p></span></p></td><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'> September 1, 2012<o:p></o:p></span></p></td></tr><tr><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal align=center style='text-align:center;line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'>Notification of Acceptance <o:p></o:p></span></p></td><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'> September 15, 2012<o:p></o:p></span></p></td></tr><tr><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'>Tentative P</span><span style='font-family:"Times New Roman","serif"'>ublication Date<o:p></o:p></span></p></td><td style='padding:.75pt .75pt .75pt .75pt'><p class=MsoNormal align=center style='text-align:center;line-height:12.0pt'><span style='font-family:"Times New Roman","serif"'> (Approx.) Mi</span><span style='font-family:"Times New Roman","serif"'>d-year 201</span><span style='font-family:"Times New Roman","serif"'>3</span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p></td></tr></table><div style='mso-element:para-border-div;border:none;border-bottom:solid #CCCCCC 1.0pt;padding:0cm 0cm 0cm 0cm;background:white'><p class=MsoNormal style='mso-margin-top-alt:24.0pt;margin-right:0cm;margin-bottom:12.0pt;margin-left:0cm;line-height:17.25pt;background:white;border:none;padding:0cm'><b><span style='font-family:"Times New Roman","serif";color:#999999'>Guest Editor</span></b><b><span style='font-family:"Times New Roman","serif";color:#999999'>s<o:p></o:p></span></b></p></div><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:10.5pt;margin-left:1.5pt;mso-margin-top-alt:auto;mso-para-margin-bottom:10.5pt;mso-para-margin-left:-1.5gd;text-align:justify;text-indent:-18.0pt;line-height:13.5pt;mso-list:l1 level1 lfo2;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'><img width=12 height=12 src=PicExportError alt="*"><span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Huiyu Zhou</span><span style='font-family:"Times New Roman","serif"'>, </span><span style='font-family:"Times New Roman","serif"'>PhD, Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, United Kingdom. E-mail: </span><a href="mailto:H.Zhou@ecit.qub.ac.uk"><span style='font-family:"Times New Roman","serif"'>H.Zhou@ecit.qub.ac.uk</span></a><span style='font-family:"Times New Roman","serif"'>. </span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:10.5pt;margin-left:1.5pt;mso-margin-top-alt:auto;mso-para-margin-bottom:10.5pt;mso-para-margin-left:-1.5gd;text-align:justify;text-indent:-18.0pt;line-height:13.5pt;mso-list:l1 level1 lfo2;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'><img width=12 height=12 src=PicExportError alt="*"><span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif";color:black'>Jianguo Zhang</span><span style='font-family:"Times New Roman","serif"'>, PhD, </span><span style='font-family:"Times New Roman","serif"'>School of</span><span style='font-family:"Times New Roman","serif"'> </span><span style='font-family:"Times New Roman","serif"'>Computing</span><span style='font-family:"Times New Roman","serif"'>, </span><span style='font-family:"Times New Roman","serif"'>University of Dundee</span><span style='font-family:"Times New Roman","serif"'>, </span><span style='font-family:"Times New Roman","serif"'>United Kingdom.</span><span style='font-family:"Times New Roman","serif"'> </span><span style='font-family:"Times New Roman","serif"'>E-mail: </span><a href="mailto:jgzhang@computing.dundee.ac.uk"><span style='font-family:"Times New Roman","serif"'>jgzhang@computing.dundee.ac.uk</span></a><span style='font-family:"Times New Roman","serif";color:black'>.</span><span style='font-family:"Times New Roman","serif"'> </span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:10.5pt;margin-left:1.5pt;mso-margin-top-alt:auto;mso-para-margin-bottom:10.5pt;mso-para-margin-left:-1.5gd;text-align:justify;text-indent:-18.0pt;line-height:13.5pt;mso-list:l0 level1 lfo3;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'><img width=12 height=12 src=PicExportError alt="*"><span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Liang Wang, PhD, National Lab of Pattern Recognition, Beijing, China. E-mail: </span><a href="mailto:wangliang@nlpr.ia.ac.cn"><span style='font-family:"Times New Roman","serif"'>wangliang@nlpr.ia.ac.cn</span></a><span style='font-family:"Times New Roman","serif"'>. </span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:10.5pt;margin-left:1.5pt;mso-margin-top-alt:auto;mso-para-margin-bottom:10.5pt;mso-para-margin-left:-1.5gd;text-align:justify;text-indent:-18.0pt;line-height:13.5pt;mso-list:l0 level1 lfo3;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'><img width=12 height=12 src=PicExportError alt="*"><span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Zhengyou Zhang, PhD, Microsoft Research, Microsoft Corp., One Microsoft Way, Redmond WA, USA. E-mail: </span><a href="mailto:zhang@microsoft.com"><span style='font-family:"Times New Roman","serif"'>zhang@microsoft.com</span></a><span style='font-family:"Times New Roman","serif"'>. </span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:10.5pt;margin-left:1.5pt;mso-margin-top-alt:auto;mso-para-margin-bottom:10.5pt;mso-para-margin-left:-1.5gd;text-align:justify;text-indent:-18.0pt;line-height:13.5pt;mso-list:l0 level1 lfo3;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol'><span style='mso-list:Ignore'><img width=12 height=12 src=PicExportError alt="*"><span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman","serif"'>Lisa M. Brown, PhD, IBM Thomas J. Watson Research Center, Hawthorne, NY USA. E-mail: </span><a href="mailto:lisabr@us.ibm.com"><span style='font-family:"Times New Roman","serif"'>lisabr@us.ibm.com</span></a><span style='font-family:"Times New Roman","serif"'>. </span><span style='font-family:"Times New Roman","serif"'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>