%0 Journal Article %1 noauthororeditor %A Poongothai, %A Suruliandi, %D 2016 %J Advances in Vision Computing: An International Journal (AVC) %K Colour Re-identification Shape Surveillance Texture %N 3 %P 10 %R 10.5121/avc.2016.3303 %T COLOUR, TEXTURE AND SHAPE FEATURE ANALYSIS FOR PERSON RE-IDENTIFICATION TECHNIQUE %U http://aircconline.com/avc/V3N3/3316avc03.pdf %V 3 %X Person re-identification across different surveillance cameras has become one of the recent and challenging approaches in the area of video surveillance system. Although many methods have been introduced for re-identification, certain issues like illumination, pose variation and occlusion are unsolved. All the existing methods focused only on developing learning methods by varying the features. The aim of this work is to analyze the effectiveness of feature for re-identification. The colour, texture and shape features has taken for the analysis. The images are collected from multiple databases for training and testing. The analysis shows that every feature has its unique properties and works according to that to solve the issues

@article{noauthororeditor, abstract = {Person re-identification across different surveillance cameras has become one of the recent and challenging approaches in the area of video surveillance system. Although many methods have been introduced for re-identification, certain issues like illumination, pose variation and occlusion are unsolved. All the existing methods focused only on developing learning methods by varying the features. The aim of this work is to analyze the effectiveness of feature for re-identification. The colour, texture and shape features has taken for the analysis. The images are collected from multiple databases for training and testing. The analysis shows that every feature has its unique properties and works according to that to solve the issues}, added-at = {2018-02-03T08:51:59.000+0100}, author = {Poongothai and Suruliandi}, biburl = {https://www.bibsonomy.org/bibtex/2a419085685161c04089e62c888097529/vinston}, doi = {10.5121/avc.2016.3303}, interhash = {599059c381cdc16264022e04114a721d}, intrahash = {a419085685161c04089e62c888097529}, journal = {Advances in Vision Computing: An International Journal (AVC)}, keywords = {Colour Re-identification Shape Surveillance Texture}, month = {September}, number = 3, pages = 10, timestamp = {2018-02-03T08:51:59.000+0100}, title = {COLOUR, TEXTURE AND SHAPE FEATURE ANALYSIS FOR PERSON RE-IDENTIFICATION TECHNIQUE}, url = {http://aircconline.com/avc/V3N3/3316avc03.pdf}, volume = 3, year = 2016 }