Abstract
The existing pedestrian counting methods use the various keypoint detectors but there is no attempt to find a suitable keypoint detector for counting pedestrians. Therefore, in this paper, we compare the various keypoint detectors using a public dataset. Our evaluation framework uses the processing time of keypoint detection and matching as a performance measure. Also, we use the accuracy of moving points which means the percentage of the number of moving points associated persons in all moving points. Experimental results show that the BRISK method is more adequate for pedestrian counting method because of its low processing time and high accuracy.
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