Multi-pose multi-target tracking for activity understanding

• Published in: 2013 IEEE Workshop on Applications of Computer Vision (WACV) pp. 385 - 390
• Main Authors: Izadinia, H., Ramakrishna, V., Kitani, K. M., Huber, D.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.01.2013
• Subjects: Computer vision; Detectors; Histograms; Pedestrians; Picking; Pipelines; Riding; Roads; Robustness; Smoothing methods; Target tracking; Tracking; Trajectory; Workshops

We evaluate the performance of a widely used tracking-by-detection and data association multi-target tracking pipeline applied to an activity-rich video dataset. In contrast to traditional work on multi-target pedestrian tracking where people are largely assumed to be upright, we use an activity-ric...