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Most recent research on object tracking sensor networks has focused on collecting all data from the sensor network into the sink, which delivers the predicted locations to the corresponding nodes in order to accurately predict object movement. The communication cost of this centralized scenario is higher than that of a distributed method. Centralized data collection affects the freshness of the data...
With the advances of wireless technologies, moving objects or users equipped with sensors are located and tracked by wireless sensor networks. Recommendations for the direction and route in exhibition by analyzing and mining the user's movement behavior can be conducted. In this paper, we study how to mine the data of historical trajectories and develop an approach which can guide the users. When...
Most of the recent research on Object Tracking Sensor Networks has focused on collecting all data from the entire sensor network and placing it into the sink, which delivers the predicted locations to the corresponding nodes in order to predict an object's movement. This collection method affects the freshness of the data and creates latency in predicting movement patterns. In addition, due to the...
The main issue of video copy detection is to estimate a constant spatial-temporal transformation in object level between the original video and the copies. In this paper, we propose a multi-level trajectory modeling approach for video copy detection. It includes a rich trajectory description and a robust trajectory-to-trajectory matching to preserve and explore the trajectory characteristics in both...
Inquiring traffic information is an important issue in vehicular ad hoc networks. This paper proposes an aggregating data dissemination algorithm in vehicular ad hoc networks. This algorithm can offer the various degrees of traffic information when users propose inquiry for different regional ranges. The user often needs to obtain the detailed data from the small area or the summary data for the large...
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