video-tracking | 易学教程

People Detection and Tracking

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问题 I want to do pedestrian detection and tracking. Input : Video Stream from CCTV camera. Output : #(no of) people going from left to right # people going from right to left # No. of people in the middle What have i done so far : For pedestrian detection I am using HOG and SVM. The detection is decent with high false positive rate. And its very slow as i am running in android platform. Question: After detection how to do I calculate the required values listed above. Can anyone tell me what is

What does size and response exactly represent in a SURF keypoint?

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I'm using OpenCV 2.3 for keypoints detection and matching. But I am a bit confused with the size and response parameters given by the detection algorithm. What do they exactly mean? Based on the OpenCV manual, I can't figure it out: float size : diameter of the meaningful keypoint neighborhood float response : the response by which the most strong keypoints have been selected. Can be used for further sorting or subsampling I thought the best point to track would be the one with the highest response but it seems that it is not the case. So how could I subsample the set of key points returned by

What does size and response exactly represent in a SURF keypoint?

阅读更多关于 What does size and response exactly represent in a SURF keypoint?

问题 I'm using OpenCV 2.3 for keypoints detection and matching. But I am a bit confused with the size and response parameters given by the detection algorithm. What do they exactly mean? Based on the OpenCV manual, I can't figure it out: float size : diameter of the meaningful keypoint neighborhood float response : the response by which the most strong keypoints have been selected. Can be used for further sorting or subsampling I thought the best point to track would be the one with the highest