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8th IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC)

作者： Sriharsha, K. V. Alphonse, P. J. A. Natl Inst Technol Dept Comp Applicat Tiruchirappalli Tamil Nadu India

ISBN: (纸本)9781509066216

In centralized based IP surveillance architectures, the information pertaining to the event captured in each camera is sent to the master data base that is located in central control server. Later for crime or theft detection in surveillance region, the recorded data is accessed and analyzed. As on today,with ongoing acts of vandalism, it is highly essential for surveillance to be reactive rather than proactive. The objective is fulfilled by incorporating on board processing features such as face detection and recognition with in the sensor node(s).Soon person enters the vicinity of camera,features are captured, processed and then recognized with in the *** order to demonstrate this on board processing capability,we came up with a single Tier homogeneous sensor network design featuring the real time face recognition without using database(s) and also optimal transmission in the network using image dimensionality reduction *** order to assess the similarity in face recognition statistical measures like mean square error and correlation coefficient are taken for consideration and the system is tested and verified with a confidence level of 98% in a resource constrained environment.

关键词： visual sensor node on board processing image resizing similarity prediction

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Efficient Data Reduction Techniques for Remote Applications of a Wireless visual sensor Network

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2013年第5期10卷

作者： Khursheed, Khursheed Imran, Muhammad Ahmad, Naeem O'Nils, Mattias Mid Sweden Univ Sundsvall Div Elect Design Dept Informat Technol & Media Ostersund Sweden

A Wireless visual sensor Network (WVSN) is formed by deploying many visual sensor nodes (VSNs) in the field. After acquiring an image of the area of interest, the VSN performs local processing on it and transmits the result using an embedded wireless transceiver. Wireless data transmission consumes a great deal of energy, where energy consumption is mainly dependent on the amount of information being transmitted. The image captured by the VSN contains a huge amount of data. For certain applications, segmentation can be performed on the captured images. The amount of information in the segmented images can be reduced by applying efficient bi-level image compression methods. In this way, the communication energy consumption of each of the VSNs can be reduced. However, the data reduction capability of bi-level image compression standards is fixed and is limited by the used compression algorithm. For applications attributing few changes in adjacent frames, change coding can be applied for further data reduction. Detecting and compressing only the Regions of Interest (ROIs) in the change frame is another possibility for further data reduction. In a communication system, where both the sender and the receiver know the employed compression standard, there is a possibility for further data reduction by not including the header information in the compressed bit stream of the sender. This paper summarizes different information reduction techniques such as image coding, change coding and ROI coding. The main contribution is the investigation of the combined effect of all these coding methods and their application to a few representative real life applications. This paper is intended to be a resource for researchers interested in techniques for information reduction in energy constrained embedded applications.

关键词： Image Coding Change Coding ROI Coding Energy Consumption visual sensor node Image Header Wireless visual sensor Network

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