Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance

Kumari, Pratibha; Nandyala, Nikhil; Teja, Allu Krishna Sai; Goel, Nishith; Saini, Mukesh

doi:10.1109/mass50613.2020.00060

Cited by 3 publications

(1 citation statement)

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“…The proposed coordination policy is essentially a rule-based policy. It is easy to understand and implement with high operation stability, and it also can be improved combining with new scheduling algorithms [45,46]. It should be pointed out that this system can only coordinate and track a single target at present.…”

Section: Cooperative Tracking Strategymentioning

confidence: 99%

Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach

Rao

Chen

et al. 2022

Sensors

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Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability, higher precision of target positioning and higher possibility of multiple-target visual tracking. With vast ocean and sea surfaces, it is a challenge using multiple cameras to work together to achieve specific target tracking and detection, and it will have a wide range of application prospects. According to the characteristics of sea-surface moving targets and visual images, this study proposed and designed a sea-surface moving-target visual detection and tracking system with a multi-camera cooperation approach. In the system, the technologies of moving target detection, tracking, and matching are studied, and the strategy to coordinate multi-camera cooperation is proposed. The comprehensive experiments of cooperative sea-surface moving-target visual tracking show that the method used in this study has improved performance compared with contrapositive methods, and the proposed system can meet the needs of multi-camera cooperative visual tracking of moving targets on the sea surface.

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Section: Cooperative Tracking Strategymentioning

confidence: 99%