NDLI: Energy aware multi-object detection method in visual sensor network

Content Provider	IEEE Xplore Digital Library
Author	Yousefi, S. Aghdasi, H.S.
Copyright Year	2015
Description	Author affiliation: Comput. Eng. Dept., Univ. of Tabriz, Tabriz, Iran (Yousefi, S.; Aghdasi, H.S.)
Abstract	Nowadays, multi-object detection is one of the most important research issues in visual sensor networks. According to literature, many methods have been proposed for object detection. However, in most of the traditional works, preprocessing methods in camera nodes cause network to be faced with large amount of data when there are several objects in camera node field-of-views. In other words, conventional works can be suitable for single object detection. Therefore, in this paper, we propose an efficient preprocessing method in camera nodes for multi-object detection which is called Bounding box Boosting-based Face Detection (BBOD). In this method, first off, a background subtraction technique is used. Then the rows and columns of the objects bounding box are determined by a number of consecutive differences. After that, the bounding box of the all objects delivers to the Boosting-based face detection algorithm for extracting the faces of objects, and their boundaries. Finally, the detected faces are sent to the base station. The simulation results demonstrate that BBOD method injects less traffic to the network and saves camera nodes energy. Consequently, BBOD method increases the network lifetime in comparison with state-of-the-art algorithms.
Starting Page	48
Ending Page	53
File Size	1535619
Page Count	6
File Format	PDF
ISBN	9781467392808
DOI	10.1109/ICCKE.2015.7365860
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-29
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Visual sensor networks Multi-object detection Boosting-based face detection algorithm Energy efficiency Complexity theory MATLAB Bounding box
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

FOTP: Face-Based Object Tracking Protocol in Wireless Sensor Network

Optimized Energy-Aware Algorithm for Collaboration in Visual Sensor Networks

Distributed Bottleneck Node Detection in Wireless Sensor Network

Optimized overlapping based energy-aware node collaboration in visual sensor networks

Multi plane volumetric coverage in wireless visual sensor network

Energy-efficient schedule for object detection in Wireless Sensor Networks

Improved Energy Based Multi-Sensor Object Detection in Wireless Sensor Networks

Energy efficient delay-aware routing in multi-tier architecture for wireless sensor networks

Multiclass object detection system in imaging sensor network using Haar-like features and Joint-Boosting algorithm

Energy aware multi-object detection method in visual sensor network

Similar Documents

FOTP: Face-Based Object Tracking Protocol in Wireless Sensor Network

Optimized Energy-Aware Algorithm for Collaboration in Visual Sensor Networks

Distributed Bottleneck Node Detection in Wireless Sensor Network

Optimized overlapping based energy-aware node collaboration in visual sensor networks

Multi plane volumetric coverage in wireless visual sensor network

Energy-efficient schedule for object detection in Wireless Sensor Networks

Improved Energy Based Multi-Sensor Object Detection in Wireless Sensor Networks

Energy efficient delay-aware routing in multi-tier architecture for wireless sensor networks

Multiclass object detection system in imaging sensor network using Haar-like features and Joint-Boosting algorithm

Energy aware multi-object detection method in visual sensor network