Object tracking in an omni-directional mosaic

David Baran; Philip David

doi:10.1117/12.795126

3 September 2008 Object tracking in an omni-directional mosaic

David Baran, Philip David

Proceedings Volume 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII; 707406 (2008) https://doi.org/10.1117/12.795126
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

Large gains have been made in the automation of moving object detection and tracking. As these technologies continue to mature, the size of the field of regard and the range of tracked objects continue to increase. The use of a pan-tilt-zoom (PTZ) camera enables a surveillance system to observe a nearly 360° field of regard and track objects over a wide range of distances. However, use of a PTZ camera also presents a number of challenges. The first challenge is to determine how to optimally control the pan, tilt, and zoom parameters of the camera. The second challenge is to detect moving objects in imagery whose orientation and spatial resolution may vary on a frame-by-frame basis. This paper does not address the first issue, it is assumed that the camera parameters are controlled by either an operator or by an automated control process. We address only the problem of how to detect moving objects in imagery whose orientation and spatial resolution may vary on a frame-by-frame basis. We describe a system for detection and tracking of moving objects using a PTZ camera whose parameters are not under our control. A previously published background subtraction algorithm is extended to handle arbitrary camera rotation and zoom changes. This is accomplished by dynamically learning 360°, multi-resolution, background models of the scene. The background models are represented as mosaics on 3D cubes. Tracking of local scale-invariant distinctive image features allows the determination of the camera parameters and the mapping from the current image to the mosaic cube. We describe the real-time implementation of the system and evaluate its performance on a variety of PTZ camera data.

Citation Download Citation

David Baran and Philip David "Object tracking in an omni-directional mosaic", Proc. SPIE 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, 707406 (3 September 2008); https://doi.org/10.1117/12.795126

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