Pattern Recognition Seminar Real-World Pedestrian Detection
نویسنده
چکیده
In this paper, we address the challenging task of pedestrian detection. The topic keyword Real-World should be noted as a synonym for a realistic detection environment (e.g. real-time, robustness, occlusions). We present some basic approaches for urban human detection and refine them to a suitable solution. We then discuss problems of detectors with common scene conditions and introduce an detector which can handle crowded scenes and infered occlusion situations. We discuss the results and give informations about other possibilities to solve this task.
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