Multi-camera People Localization and Height Estimation Using Multiple Birth-and-Death Dynamics
This paper presents a novel tool for localizing people in multi-camera environment using calibrated cameras. Additionally, we will estimate the height of each person in the scene. Currently, the presented method uses the human body silhouettes as input, but it can be easily modified to process other widely used object (e.g. head, leg, body) detection results. In the first step we project all the pixels of the silhouettes to the ground plane and to other parallel planes with different height. Then we extract our features, which are based on the physical properties of the 2-D image formation. The final configuration results (location and height) are obtained by an iterative stochastic optimization process, namely the multiple birth-and-death dynamics framework.
KeywordsGround Plane Camera View Multiple Camera Height Estimation Crowded Scene
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- 2.Mikic, I., Santini, S., Jain, R.: Video processing and integration from multiple cameras. In: Proc. of the Image Understanding Workshop, pp. 183–187 (1998)Google Scholar
- 4.Kang, J., Cohen, I., Medioni, G.: Tracking people in crowded scenes across multiple cameras. In: Proc. of the Asian Conf. on Computer Vision (2004)Google Scholar
- 7.Havasi, L., Szlávik, Z.: Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos. In: Proc. of the IEEE Int. Workshop on Visual Surveillance (2009)Google Scholar
- 13.PETS: Dataset - Performance Evaluation of Tracking and Surveillance (2009), http://www.cvg.rdg.ac.uk/PETS2009/a.html