Person re-identification by unsupervised video matching

作者：

Highlights：

• We propose an unsupervised approach to person re-identification based on typical surveillance image-sequences.

• We present a new video representation particularly tailored for person ReID. Specifically, this representation is built up on existing action space-time features.

• We introduce an effective video matching algorithm, Time Shift Dynamic Time Warping (TS-DTW) and its Multi-Dimension variant MDTS-DTW, for data selective based sequence matching.

摘要

Highlights•We propose an unsupervised approach to person re-identification based on typical surveillance image-sequences.•We present a new video representation particularly tailored for person ReID. Specifically, this representation is built up on existing action space-time features.•We introduce an effective video matching algorithm, Time Shift Dynamic Time Warping (TS-DTW) and its Multi-Dimension variant MDTS-DTW, for data selective based sequence matching.

论文关键词：Person re-identification,Action recognition,Gait recognition,Video matching,Temporal sequence matching,Spatio-temporal pyramids,Time shift

论文评审过程：Received 31 March 2016, Revised 21 November 2016, Accepted 21 November 2016, Available online 23 November 2016, Version of Record 5 January 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.11.018