Benchmarking the Complementary-View Multi-human Association and Tracking

• Published in: International journal of computer vision Vol. 132; no. 1; pp. 118 - 136
• Main Authors: Han, Ruize, Feng, Wei, Wang, Feifan, Qian, Zekun, Yan, Haomin, Wang, Song
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2024; Springer; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Benchmarks; Cameras; Computer Imaging; Computer Science; Computer vision; Datasets; Image Processing and Computer Vision; Pattern Recognition; Pattern Recognition and Graphics; Performance evaluation; Special Issue on Traditional Computer Vision in the Age of Deep Learning; Tracking; Vision; Benchmark; Multi-human association; Multi-human tracking; Complementary view

Using multiple moving cameras with different and time-varying views can significantly expand the capability of multiple human tracking in larger areas and with various perspectives. In particular, the use of moving cameras of complementary top and horizontal views can facilitate multi-human detectio...