文件名称：Multi-Pose Multi-Target Tracking for Activity Understanding
文件大小：2.08MB
文件格式：PDF
更新时间：2016-07-04 16:07:46
跟踪 图像处理 计算机 英文文献 多目标
We evaluate the performance of a widely used trackingby- 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-rich dataset that includes a wide range of body poses derived from actions such as picking up an object, riding a bike, digging with a shovel, and sitting down. For each step of the tracking pipeline, we identify key limitations and offer practical modifications that enable robust multi-target tracking over a range of activities. We show that the use of multiple posture-specific detectors and an appearancebased data association post-processing step can generate non-fragmented trajectories essential for holistic activity understanding.