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We propose here to acquire high resolution sequences of a person's face using a pan-tilt-zoom (PTZ) network camera. This capability should prove helpful in forensic analysis of video sequences as frames containing faces are tagged, and within a frame, windows containing faces can be retrieved. The system starts in pedestrian detector mode, where the lens angle is set widest, and detects people using...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure. Many Kernel based object tracking algorithms have been developed during last few years. The computational complexity becomes very high in those kernel based techniques. In our proposed method the target localization problem is minimized using segmentation technique, instead...
We present a real-time distributed system for tracking with non-overlapping camera views. Each camera performs multi-object tracking, and cameras communicate with each other in a peer-to-peer manner for consistent labeling. To match objects across non-overlapping views, we employ multiple features, namely color histogram, height, travel time and speed. First, camera configuration and reference values...
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure. Many Kernel based object tracking algorithms have been developed during last few years. The computational complexity becomes very high in those kernel based techniques. In our proposed method the target localization problem is minimized using segmentation technique, instead...
This paper presents an enhancement of the standard sampling strategy for filter-based object detection and tracking in video streams. The proposed method, called staggered sampling, seeks to maximize the sampling density across video frames, thus reducing the number of patches sampled while retaining proportionally high recall rates. The method can be tailored to virtually any constraint on resources...
In this paper we implement a wireless vision based object tracking system with wireless surveillance camera which uses a novel color based object tracking algorithm designed to work on any non-ideal environment. The implementation of the kernel-based tracking of moving video objects based on the CAMSHIFT algorithm is presented. We show that the algorithm performs exceptionally well on moving objects...
This paper presents a practical real-time traffic monitoring system based on object detection and tracking for measuring traffic parameters such as speed and volume. The system presented in this paper is a following work from our previous works in. This monitoring system is currently being used on real traffic environment in Thailand. The results in this paper confirm the validity of the proposed...
Eye tracking is the focus problem in the researching domain of human-machine interaction and computer vision in recent years. The method of using a single eye location and detection algorithm has poor real-time performance. So a new eye tracking method is proposed in this paper. This method combines the location and detection algorithm with the grey prediction for eye tracking. The GM(1,1) model is...
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