Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a multi-object detection and tracking method using depth cameras. Depth maps are very noisy and obscure in object detection.  first propose a region-based method to suppress high magnitude noise which cannot be filtered using spatial filters. Second, the proposed method detect Region of Interests by temporal learning which are then tracked using ighted graph-based approach.  demonstrate the performance of the proposed method on standard depth camera datasets with and without object occlusions. Experimental results show that the proposed, method is able to suppress high magnitude noise in depth maps and detect/track the objects (with and without occlusion).
['Sachin Mehta', 'Balakrishnan Prabhakaran']
I am writing a research paper on a idea Region graph based method for multi-object detection and tracking using depth cameras
[{"from": "human", "value": "I am writing a research paper on a idea Region graph based method for multi-object detection and tracking using depth cameras"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a multi-object detection and tracking method using depth cameras. Depth maps are very noisy and obscure in object detection.  first propose a region-based method to suppress high magnitude noise which cannot be filtered using spatial filters. Second, the proposed method detect Region of Interests by temporal learning which are then tracked using ighted graph-based approach.  demonstrate the performance of the proposed method on standard depth camera datasets with and without object occlusions. Experimental results show that the proposed, method is able to suppress high magnitude noise in depth maps and detect/track the objects (with and without occlusion)."}]