Naohiko Suzuki

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We propose a method for real-time people tracking using multiple cameras. The particle filter framework is known to be effective for tracking people, but most of existing methods adopt only simple perceptual cues such as color histogram or contour similarity for hypothesis evaluation. To improve the robustness and accuracy of tracking more sophisticated(More)
For tracking a varying number of people using distributed cameras, it is important to deal with appear-ance/disappearance of people due to various causes including occlusions. We propose a method for tracking people with automatic initialization by integrating observations from distributed cameras and laser range scanners. In our method, the problem of(More)
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