Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Pedestrian detection is particularly challenging, comparing with other targets in the domain of object detection, especially for night driving just with a normal camera.   combine two probabilistic templates based classifiers for elaborate pedestrian detection: the binary probabilistic template based classifier (BPTC) as the first layer to reject most of non-pedestrians by the features of binary image; the gray probabilistic template based classifier (GPTC) as the second layer to make the final classification by the gray probability, which is the contribution of this paper. Experiments show that our approach performs ll most of the time, and the system can achieve real-time detection
['Mei Hu']
I am writing a research paper on a idea Multiple Probabilistic Templates Based Pedestrian Detection in Night Driving with a Normal Camera
[{"from": "human", "value": "I am writing a research paper on a idea Multiple Probabilistic Templates Based Pedestrian Detection in Night Driving with a Normal Camera"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Pedestrian detection is particularly challenging, comparing with other targets in the domain of object detection, especially for night driving just with a normal camera.   combine two probabilistic templates based classifiers for elaborate pedestrian detection: the binary probabilistic template based classifier (BPTC) as the first layer to reject most of non-pedestrians by the features of binary image; the gray probabilistic template based classifier (GPTC) as the second layer to make the final classification by the gray probability, which is the contribution of this paper. Experiments show that our approach performs ll most of the time, and the system can achieve real-time detection"}]