Mook-Kwang Park, Namsu Moon, Sang-Gyu Ryu, Jeongpyo Kong, Yongjin Lee, Wangjin Mun
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A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera
A novel method of pixel-weighting is proposed to calculate the size of a detected object in an image captured using a single camera. The calculated object size does not vary significantly regardless of the location of the object in an image, which allows it to be effectively utilized in a vision-based surveillance sensing algorithm as a meaningful feature for discriminating human intruders from other objects. Experimental results show the feasibility of the proposed method.
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