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Real-Time Security Monitoring Around a Video Surveillance Vehicle With a Pair of Two-Camera Omni-Imaging Devices | IEEE Journals & Magazine | IEEE Xplore

Real-Time Security Monitoring Around a Video Surveillance Vehicle With a Pair of Two-Camera Omni-Imaging Devices


Abstract:

A pair of two-camera omni-imaging devices is designed for use on the roof of a video surveillance vehicle, and corresponding 3-D vision-based techniques for real-time sec...Show More

Abstract:

A pair of two-camera omni-imaging devices is designed for use on the roof of a video surveillance vehicle, and corresponding 3-D vision-based techniques for real-time security surveillance around the vehicle are proposed, which may be used to monitor passing-by persons around the vehicle. First, the design of the pair of two-camera omni-imaging devices, each device consisting of two omnicameras, with their optical axes vertically aligned, is described. Then, a new analytic technique for fast 3-D space data acquisition that is based on a panomapping method for image-to-world space transformation, as well as the rotational invariance property of the omni-image, is proposed. Techniques for constructing top- and perspective-view images for the convenient observation of the monitored environment are also proposed. Finally, 3-D vision techniques for automatically detecting passing-by persons and computing their locations and body heights are proposed, followed by experimental results, which show the precision and feasibility of the proposed techniques.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 60, Issue: 8, October 2011)
Page(s): 3603 - 3614
Date of Publication: 25 July 2011

ISSN Information:


I. Introduction

Video surveillance of environments has intensively been studied in recent years [1], [2]. To increase the mobility of video surveillance systems, vehicles are used as the carriers of such systems [3]–[5]. Applications of video surveillance vehicles include the dynamic monitoring of outdoor events, detection of passing-by persons, assistance for safe driving, warning of dangerous activities, and watching of environmental changes. Various types of cameras were used to capture environment images. Gandhi and Trivedi [3] made a good survey of vehicle surround capture techniques and proposed a novel omnivideo-based approach to synthesize dynamic panoramic surround maps using the stereo and motion analysis of video images from a pair of omnicameras on a vehicle. Micheloni et al. [4] used an autonomous vehicle to monitor moving objects in indoor environments, whereas Chen and Tsai [5] designed an autonomous vehicle to monitor planar objects on walls in buildings, and both works used projective cameras to capture environment images. Onoe et al. [6] and Mituyosi et al. [7] used omnicameras for tracking human body features. A video surveillance system for localizing objects using multiple omnicameras was proposed by Morita et al. [8]. Some related works that use pairs of omnicameras with hyperboloidal-shaped reflective mirrors can be found in [9] and [10]. In particular, Koyasu et al. [9] proposed an omnidirectional stereo system that consists of two vertically aligned omnicameras to detect and track obstacles. In addition, Ukida et al. [10] used a similar system and a space encoding scheme to acquire 3-D environment data for various applications. Furthermore, a method that reconstructs the 3-D data of static nearby vehicles by a mobile robot using a stereo omnicamera (a two-mirror omni-imaging system) was proposed by Meguro et al. [11]. Many more related techniques can be found in [15]–[27], which will be reviewed after presenting the method that is proposed in this paper.

References

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