Head location based on fuzzy weighted projection histogram in infrared thermal sequences
Yuan Yang, Jihong Pei · 2005
Human detection is important in visual surveillance systems. Especially, counting the number of moving objects and locating the head of an object is a difficult problem in human detection. In this paper, a novel method is used to count and locate moving objects in thermal images, which uses thermal and position information to compute the fuzzy weighted projection histogram. The peaks of the fuzzy weighted projection histogram could be sharper and more separated. In the meantime, a potential function clustering method is used to count the number and locate the position of peaks in the histogram, which is the number and the head position of moving objects. Experiments show that our method is effective and feasible to count and locate moving objects in thermal images.