1. Introduction
In video surveillance, it is desirable to judge whether or not a pedestrian has appeared across disjoint camera views. That is person re-identification problem. It has received increasing attention recently as it could greatly save human effort on manually browsing and searching persons in a large scale dataset. However, person re-identification is still a challenging topic in computer vision because the same person's appearances often undergo significant variance in illumination, camera viewpoint, pose and clothes, while different pedestrians may look very similar due to the similar dressing style. In addition, complex background clutter, occlusion and low resolution also increase the difficulties of person reidentification.
Visualization of HOG features on different color channels. Top row: grayscale map of each channel. Bottom row: HOG model on corresponding channel. The left three channels are form HSV color space, and the right three are from our encoding color space