Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most of object detection algorithms do not yield perfect foreground segmentation masks. These errors in the initial stage of video surveillance systems could cause that the subsequent tasks like object tracking and behavior analysis, can be extremely compromised. ,  propose a methodology based on self-organizing neural networks and histogram analysis, which detects unusual objects in the scene and improve the foreground mask handling occlusions beten objects. Experimental results on several traffic sequences found in the literature show that the proposed methodology is promising and suitable to correct segmentation errors on crowded scenes with rigid objects.
['Rafael Marcos Luque-Baena', 'Ezequiel López-Rubio', 'Enrique García-Escudero Domínguez', 'Esteban J. Palomo', 'José M. Jerez']
I am writing a research paper on a idea A self-organizing map for traffic flow monitoring
[{"from": "human", "value": "I am writing a research paper on a idea A self-organizing map for traffic flow monitoring"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most of object detection algorithms do not yield perfect foreground segmentation masks. These errors in the initial stage of video surveillance systems could cause that the subsequent tasks like object tracking and behavior analysis, can be extremely compromised. ,  propose a methodology based on self-organizing neural networks and histogram analysis, which detects unusual objects in the scene and improve the foreground mask handling occlusions beten objects. Experimental results on several traffic sequences found in the literature show that the proposed methodology is promising and suitable to correct segmentation errors on crowded scenes with rigid objects."}]