Multi-Scale Temporal Cues Learning for Video Person Re-Identification

Volume: 29, Pages: 4461 - 4473
Published: Jan 1, 2020
Abstract
Temporal cues embedded in videos provide important clues for person Re-Identification (ReID). To efficiently exploit temporal cues with a compact neural network, this work proposes a novel 3D convolution layer called Multi-scale 3D (M3D) convolution layer. The M3D layer is easy to implement and could be inserted into traditional 2D convolution networks to learn multi-scale temporal cues by end-to-end training. According to its inserted location,...
Paper Details
Title
Multi-Scale Temporal Cues Learning for Video Person Re-Identification
Published Date
Jan 1, 2020
Volume
29
Pages
4461 - 4473
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