Learning Compact Appearance Representation for Video-Based Person Re-Identification
Learning Compact Appearance Representation for Video-Based Person Re-Identification
This paper presents a novel approach for video-based person re-identification using multiple convolutional neural networks (CNNs). Unlike the previous work, we intend to extract a compact yet discriminative appearance representation from several frames rather than the whole sequence. Specifically, given a video, the representative frames are selected based on the …