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Wireless Personal Communications - This paper proposes a new energy management function intended to be integrated in the Hierarchical Smart Routing Protocol (HSRP) mainly proposed for Wireless... 相似文献
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Wireless Personal Communications - This paper presents a radial cluster heads selection mechanism for homogenous wireless sensor networks. It aims to ensure a good load balancing and enhance the... 相似文献
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Studies on pedestrians using microscopic simulation require large amounts of trajectory data from real-world pedestrian crowds.
The collection of such data, if done manually, involves tremendous efforts and is very time-consuming. Although many studies
have asserted the possibility of automating this task using video cameras, we have found that only a few have demonstrated
good performance in very crowded situations or from a top-angled view scene. This paper deals with tracking pedestrian crowd
under heavy occlusion and from an angular scene using only a single non-stereo video camera. Our automated tracking system
consists of three modules that are performed sequentially. The first module detects moving objects as blobs. The second module
computes feature values from the blob information in order to generate what we call a possibility matrix. The third module
is a tracking system, which employs a Bayesian update of the probability tree derived from the possibility matrix and from
the detection of each pedestrian, in order to track the next position of the pedestrian. The result of such tracking is a
database of pedestrian trajectories over time and space. With certain prior information, we show that the system is able to
track a large number of people under occlusion and clutter scene. 相似文献
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