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In this paper, an agent-based software architecture for automated wide area video surveillance systems is presented. The proposed concept is designed for detection and tracking of moving objects across multiple camera views. The surveillance system consists of a decentralized collaborative sensor network with object- and task-oriented architecture. At sensor node level, image processing algorithms...
This paper investigates a human body posture estimation method based on the back projection of human silhouette images extracted from multi-camera images. The multi-camera system is based on a server-client system with local network of 1000 Base-T to achieve a voxel 3D reconstruction of human body posture in real-time. In order to extract significant points of the human body such as head, neck, shoulders,...
This paper presents a new approach for pedestrian detection in the vehicle environment using stereo vision. The segmented pedestrians, represented as a set of equal disparity attributed segments, are refined using B-spline arithmetic. These segments are obtained from a non-dense disparity map. The disparity map is estimated using a new developed algorithm relying on the contour-following algorithm...
Falls are a major health hazard for the elderly and a serious obstacle for independent living. Since falling causes dramatic physical-psychological consequences, development of intelligent video surveillance systems is so important due to providing safe environments. To this end, this paper proposes a novel approach for human fall detection based on combination of integrated time motion images and...
Video cameras are a relatively low-cost, rich source of information that can be used for ldquowell-beingrdquo assessment and abnormal event detection for the goal of allowing elders to live longer and healthier independent lives. We previously reported a soft-computing fall detection system, based on two levels from a hierarchy of fuzzy inference using linguistic summarizations of activity acquired...
In this paper, we discuss a robot vision in order to perceive people and the environment around a mobile robot. We developed a tele-operated mobile robot with a pan-tilt mechanism composed of a camera and a laser range finder (LRF). In this paper, we propose a method for sensor fusion to extract a human from the measured data by integrating these outputs based on the concept of synthesis. Next, we...
The background subtraction algorithm based on the YUV color space, image gradient and shape segmentation is used in this research to extract the region of interest from a real-time video surveillance camera. We choose to extract a human face from video sequence. This research has long been considered as an important and still challenging issue in video surveillance. In this paper we present an improved...
To estimate a human motion, in this paper, we propose a neural approach using silhouettes in video frames captured by two cameras placed at the front and side of the human body. To extract features of the silhouettes for motion estimation, the proposed system computes both global and local features and then groups these features into static and dynamic features depending on whether features are in...
Recently, we can see a lot of scenes, such as, entrance into important places with use computer resources for security, in which a person need to be recognized as an authorized user. Safe and easy biometric authentication is very attractive method for a personal recognition. In this research, we study a method based on iris patterns. We use a Gabor wavelet to iris image and extract features as a simple...
Information that is acquired position by adhered sensors on a body has been commonly used for the three-dimensional motion recognition system. However, if human use adhered sensors, it must be the constrained for their acting and restricted for moving area by those sensors. In this paper, we use optical capture systems like CCDs or movie cameras for overcoming those demerits. Exercising human images,...
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