Category: IEEE 2017

A Diffusion and Clustering-based Approach for Finding Coherent Motions and Understanding Crowd Scenes

Statistical Hypothesis Detector for Abnormal Event Detection in Crowded Abstract Abnormal event detection is now a challenging task, especially for crowded scenes. Many existing methods learn a normal event model in the training phase, and events which cannot be well represented are treated as abnormalities. However, they fail to make use of abnormal event patterns, which are elements to comprise abnormal events. Moreover, normal patterns in testing videos may […]


Learning Invariant Color Features for Person Re-Identification

Learning Invariant Color Features for Person Re-Identification Abstract— Matching people across multiple camera views known as person reidentification is a challenging problem due to the change in visual appearance caused by varying lighting conditions. The perceived color of the subject appears to be different under different illuminations. Previous works use color as it is or […]