| 3D Modelbased Detection of People in Monocular Video Sequences taken in Trainstations (2009) | |||||||||||||||
Abstract | |||||||||||||||
| The person detection module can be decomposed into three submodules (see figure I), the image-This article focuses on a new approach for three- sequence preprocessor, the modelling part and the dimensional people detection in monocular image detection module (the hypothesis generator), which sequences taken from stationary cameras with fixed are explained in the following. focal lengths. u The main contribution of the new algorithm is the combination of the following four (Sequence] parts. An abstract articulated geometrical person model, a scene model including a platform and a camera model, a hypothesis generator for people positions based on the CONDENSATION algorithm, and a fast clustering approach for the people detection. This approach allows the robust detection of several persons on the platform in realtime. This approach demonstrates that even with monocular image processing algorithms it is possible to detect people in realtime and to obtain information on their three-dimensional locations. Figure 1: Program Structure | |||||||||||||||
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