Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Maintaining the stability of tracks on multiple targets in video over ex- tended time periods and wide areas remains a challenging problem. Basic trackers like the Kalman filter or particle filter deteriorate in performance as the complexity of the scene increases. A few methods have recently shown encouraging results in these application domains. They rely on learning context models, the availability of training data, or modeling the inter-relationships beten the tracks. In this chapter,  provide an overview of research in the area of long-term tracking in video.  review some of the methods in the literature and analyze the common sources of errors which cause trackers to fail.  also discuss the limits of performance of the trackers as multiple objects come together to form groups and crowds. On multiple real-life video sequences obtained for a single camera as ll as a camera network,  compare the performance of some of the methods.
['Bi Song', 'Ricky J. Sethi', 'Amit K. Roy-Chowdhury']
I am writing a research paper on a idea Wide Area Tracking in Single and Multiple Views
[{"from": "human", "value": "I am writing a research paper on a idea Wide Area Tracking in Single and Multiple Views"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Maintaining the stability of tracks on multiple targets in video over ex- tended time periods and wide areas remains a challenging problem. Basic trackers like the Kalman filter or particle filter deteriorate in performance as the complexity of the scene increases. A few methods have recently shown encouraging results in these application domains. They rely on learning context models, the availability of training data, or modeling the inter-relationships beten the tracks. In this chapter,  provide an overview of research in the area of long-term tracking in video.  review some of the methods in the literature and analyze the common sources of errors which cause trackers to fail.  also discuss the limits of performance of the trackers as multiple objects come together to form groups and crowds. On multiple real-life video sequences obtained for a single camera as ll as a camera network,  compare the performance of some of the methods."}]