Abstract
This paper presents a distributed multiple camera collaboration strategy for active tracking in large areas. Their collaboration utilizes a sector-based mechanism in which the visual correspondences among different cameras are determined. In order to emulate the master-slave operations, the proposed method combines the local data to construct the global information. Based on the global information, the loads are evenly distributed to avoid tracking misses due to the dynamic behaviors of the objects. The trajectories of all objects visible in the local cameras are estimated for actual tracking and the estimated dynamics are used for scheduling of the cameras. The active tracking triggering timing is carefully chosen to maximize the overall monitoring time for general surveillance operations.
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Hong, S., Moon, N. (2017). Active Tracking Strategy with Multiple Cameras in Large Areas. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_105
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DOI: https://doi.org/10.1007/978-981-10-3023-9_105
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