Abstract: The main goal of this study is to extract traffic statistics throughout the day, week and season based on video surveillance. For our propose, we focus on traffic analysis that is related to vehicle counting. We provide the following process chain: objects detection and tracking, trajectories extraction, detection of entry/exit zones and vehicle counting. Experiments show that the information obtained is reliable and gives effective vehicles counting that are compared to previously published results obtained on a public data set. Additional comparisons are done with ground truth for a private data set.

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-02
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Abstract: Mobile ad hoc network (MANET) is one of the most important and unique network in wireless network which has brought maximum mobility and scalability. High efficient routing is an important issue in the design of limited energy resource MANETs. Many research work have been conducted by the researchers in the field of routing protocols for MANETs for making it energy efficient as the nodes are with limited resources in terms of battery supplied energy, storage and processing capability. In this paper we have proposed a new technique of routing protocol which utilizes the concept of swarm intelligence in which bee inspired routing is chosen as the ultimate routing protocol for energy efficient MANETs. To make the system more energy efficient we have chosen the clustered based approach as Bee-AdHoc-C. Bee-AdHoc-C is an evolution from Bee-AdHoc which is a bee inspired routing protocol for MANETs. This method provides parallel routing by which it reduces the overhead and improves the scalabi

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-03
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• Downloads: 0