Multi-views tracking within and across uncalibrated camera streams
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Closed-Loop Person Tracking and Detection
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
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Abstract A combined 2D, 3D approach is presented that allows for robust tracking of moving bodies in a given environment as observed via a single, uncalibrated video camera. Tracking is robust even in the presence of occlusions. Low-level features are often insufficient for detection, segmentation, and tracking of non-rigid moving objects. Therefore, an improved mechanism is proposed that combines low-level (image processing) and mid-level (recursive trajectory estimation) information obtained during the tracking process. The resulting system can segment and maintain the tracking of moving objects before, during, and after occlusion. At each frame, the system also extracts a stabilized coordinate frame of the moving objects. This stabilized frame is used to resize and resample the moving blob so that it can be used as input to motion recognition modules. The approach enables robust tracking without constraining the system to know the shape of the objects being tracked beforehand; although, some assumptions are made about the characterstics of the shape of the objects, and how they evolve with time. Experiments in tracking moving people are described.