Color-Based multiple agent tracking for wireless image sensor networks

Authors:
Emre Oto;Frances Lau;Hamid Aghajan
Affiliations:
Wireless Sensor Networks Lab, Department of Electrical Engineering, Stanford University, Stanford, CA;Wireless Sensor Networks Lab, Department of Electrical Engineering, Stanford University, Stanford, CA;Wireless Sensor Networks Lab, Department of Electrical Engineering, Stanford University, Stanford, CA
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

Citing 3
Cited 1

Color-Based Probabilistic Tracking

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Tracking Multiple People with a Multi-Camera System

WOMOT '01 Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01)
Robust Color-Based Tracking

ICIG '04 Proceedings of the Third International Conference on Image and Graphics

Automatic node selection and target tracking in wireless camera sensor networks

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an implementation of a color-based multiple agent tracking algorithm targeted for wireless image sensor networks. The proposed technique is based on employing lightweight algorithms and low-bandwidth data communication between multiple network nodes to track the path of autonomous agents moving across the fields of view (FOV) of the sensors. Segmentation techniques are applied to find the agents within the FOV, and a color histogram is constructed using the hue values of the pixels corresponding to agents. This histogram is used as a means of identification within the network. As such, the algorithm is able to reliably track multi-colored agents of irregular shapes and sizes and can resolve identities after collisions. The proposed algorithm has low computational requirements and its complexity scales linearly with the size of the network, so it is feasible in low-power, large-scale wireless sensor networks.