Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, trajectory tracking technology is widely used in many outdoor applications, such as intelligent traffic and video surveillance. Hover, most of trajectory-tracking technologies rely on a static background, which is hard to obtain in many situations. Obviously, these methods are out of action in the case of dynamic background. , a novel trajectory tracking method is presented, which is implemented with a new background reconstruction algorithm. Firstly, the background is assumed to be a blank scene. Then, the background is reconstructed by means of video detection that places moving objects in the scene. Finally, real-time trajectories of moving objects are computed based on the reconstructed background. Experimental results show its robustness and practicability even in a cluttered background.
['Weina Fu', 'Jiantao Zhou', 'Shuai Liu', 'Ming Ma', 'Yingdong Ma']
I am writing a research paper on a idea Differential trajectory tracking with automatic learning of background reconstruction
[{"from": "human", "value": "I am writing a research paper on a idea Differential trajectory tracking with automatic learning of background reconstruction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, trajectory tracking technology is widely used in many outdoor applications, such as intelligent traffic and video surveillance. Hover, most of trajectory-tracking technologies rely on a static background, which is hard to obtain in many situations. Obviously, these methods are out of action in the case of dynamic background. , a novel trajectory tracking method is presented, which is implemented with a new background reconstruction algorithm. Firstly, the background is assumed to be a blank scene. Then, the background is reconstructed by means of video detection that places moving objects in the scene. Finally, real-time trajectories of moving objects are computed based on the reconstructed background. Experimental results show its robustness and practicability even in a cluttered background."}]