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26 February 2008 Rapid object candidate detection using increment sign correlation
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Proceedings Volume 6811, Real-Time Image Processing 2008; 68110R (2008)
Event: Electronic Imaging, 2008, San Jose, California, United States
We develop a rapid object-candidates detector using Increment Sign Correlation (ISC). Our method aims to detect candidates of objects such as people or vehicles in real time using ISC and a simple shape model. Our method is similar to Generalized Hough Transform (GHT). However we modify its voting process. We use ISC for detecting object candidates instead of the shape voting done by GHT. ISC is robust against shading and low image contrast due to lighting changes because Increment Sign (IS) is insensitive to a perturbation of direction of intensity gradient. The computational cost of IS is lower than that of the gradient also. From the results of our experiment, our detector can run with a 320×240 pixel image within 32 milliseconds on a Pentium 4 processor at 2.8 GHz. Given the initial template size of 10×20 pixels, the number of candidates decreases from 170,196 sub-windows in a 320×240 pixel image to 400 at most with the miss rate of 0.2 %. The detection rate is enough for more precise detectors which need to use richer image features. The experimental results using real image sequences are reported.
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Masato Kazui, Masaya Itoh, and Shoji Muramatsu "Rapid object candidate detection using increment sign correlation", Proc. SPIE 6811, Real-Time Image Processing 2008, 68110R (26 February 2008);

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