Adaptive pedestrian tracking via patch-based features and spatial–temporal similarity measurement

作者：

Highlights：

• A patch-based appearance model is proposed according to stable properties.

• The number of valid patches in particles is automatically adjusted.

• A spatial–temporal similarity measurement is formulated for tracking and updating.

• A shadow removal algorithm makes tracking robustly under abrupt illumination.

• An extensive comparison with state-of-art methods.

摘要

•A patch-based appearance model is proposed according to stable properties.•The number of valid patches in particles is automatically adjusted.•A spatial–temporal similarity measurement is formulated for tracking and updating.•A shadow removal algorithm makes tracking robustly under abrupt illumination.•An extensive comparison with state-of-art methods.

论文关键词：Pedestrian tracking,Image shadow removal,Patch-based target representation,Similarity measurement

论文评审过程：Received 17 June 2015, Revised 10 September 2015, Accepted 16 November 2015, Available online 2 December 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.11.017