Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views

We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects, which correspond to paths in far-field scenes. We assume that the topology of cameras is unknown and quite arbitrary, the fields of views covered by these cameras may have no overlap or any amount of overlap, and objects may move on different ground planes. Using low-level cues, objects are first tracked in each camera view independently, and the positions and velocities of objects along trajectories are computed as features. Under a probabilistic model, our approach jointly learns the distribution of an activity in the feature spaces of different camera's views. Then it accomplishes the following tasks: (1) grouping trajectories, which belong to the same activity but may be in different camera views, into one cluster; (2) modeling paths commonly taken by objects across multiple camera views; (3) detec...

• Type: Journal
• Year: 2010
• Where: PAMI
• Authors: Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
• Keywords: Camera Views, Correspondence Problem, Intelligent Agents, PAMI 2010, Trajectories