Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a multi-camera surveillance system, both camera handoff and placement play an important role in generating an automated and persistent object tracking, typical of most surveillance requirements. Camera handoff should comprise three fundamental components, time to trigger handoff process, the execution of consistent labeling, and the selection of the next optimal camera. ,  design an observation measure to quantitatively formulate the effectiveness of object tracking so that  can trigger camera handoff timely and select the next camera appropriately before the tracked object falls out of the field of view (FOV) of the currently observing camera. In the meantime,  present a novel solution to the consistent labeling problem in omnidirectional cameras. A spatial mapping procedure is proposed to consider both the noise inherent to the tracking algorithms used by the system and the lens distortion introduced by omnidirectional cameras. This does not only avoid the tedious process, but also increases the accuracy, to obtain the correspondence beten omnidirectional cameras without human interventions.  also propose to use the Wilcoxon Signed-Rank Test to improve the accuracy of trajectory association beten pairs of objects. In addition, since  need a certain amount of time to successfully carry out the camera handoff procedure,  introduce an additional constraint to optimally reserve sufficient cameras' overlapped FOVs for the camera placement. Experiments show that our proposed observation measure can quantitatively formulate the effectiveness of tracking, so that camera handoff can smoothly transfer objects of interest. Meanwhile, our proposed consistent labeling approach can perform as accurately as the geometry-based approach without tedious calibration processes and outperform Calderara's homography-based approach. Our proposed camera placement method exhibits a significant increase in the camera handoff success rate at the cost of slightly decreased coverage, as compared to Erdem and Sclaroff's method without considering the requirement on overlapped FOVs.
['Chung-Hao Chen', 'Yi Yao', 'David L. Page', 'Besma R. Abidi', 'Andreas F. Koschan', 'Mongi A. Abidi']
I am writing a research paper on a idea Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras
[{"from": "human", "value": "I am writing a research paper on a idea Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a multi-camera surveillance system, both camera handoff and placement play an important role in generating an automated and persistent object tracking, typical of most surveillance requirements. Camera handoff should comprise three fundamental components, time to trigger handoff process, the execution of consistent labeling, and the selection of the next optimal camera. ,  design an observation measure to quantitatively formulate the effectiveness of object tracking so that  can trigger camera handoff timely and select the next camera appropriately before the tracked object falls out of the field of view (FOV) of the currently observing camera. In the meantime,  present a novel solution to the consistent labeling problem in omnidirectional cameras. A spatial mapping procedure is proposed to consider both the noise inherent to the tracking algorithms used by the system and the lens distortion introduced by omnidirectional cameras. This does not only avoid the tedious process, but also increases the accuracy, to obtain the correspondence beten omnidirectional cameras without human interventions.  also propose to use the Wilcoxon Signed-Rank Test to improve the accuracy of trajectory association beten pairs of objects. In addition, since  need a certain amount of time to successfully carry out the camera handoff procedure,  introduce an additional constraint to optimally reserve sufficient cameras' overlapped FOVs for the camera placement. Experiments show that our proposed observation measure can quantitatively formulate the effectiveness of tracking, so that camera handoff can smoothly transfer objects of interest. Meanwhile, our proposed consistent labeling approach can perform as accurately as the geometry-based approach without tedious calibration processes and outperform Calderara's homography-based approach. Our proposed camera placement method exhibits a significant increase in the camera handoff success rate at the cost of slightly decreased coverage, as compared to Erdem and Sclaroff's method without considering the requirement on overlapped FOVs."}]