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In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
In this paper we present our approach to use a combination of radio frequency identification (RFID) and a wireless camera sensor network to identify and track animals at a zoo. We have developed and installed 25 cameras covering the whole zoo. The cameras are totally autonomous and they are configuring themselves in a wireless ad-hoc network. At strategic locations RFID readers are deployed to identify...
In this paper we propose multiple cameras using real time tracking for surveillance and security system. It is extensively used in the research field of computer vision applications, like that video surveillance, authentication systems, robotics, pre-stage of MPEG4 image compression and user inter faces by gestures. The key components of tracking for surveillance system are extracting the feature,...
As cameras become cheaper and gain popularity, vision-based input devices are highly desired and may now become a feasible solution. In this paper, a vision-based virtual piano mechanism is proposed. By tacking and analyzing the motion of the fingertips, the system can detect keystrokes and play the corresponding note on a seven-key virtual piano. Experimental results show the precision and efficiency...
Fast algorithms and heuristics for real-time object recognition and tracking have enabled a new hybrid world technology in which one can manipulate a real world object and have its virtual world counterpart move correspondingly. This technology has been developed as part of a teaching head platform that was initially designed for language teaching but is now also being used in a range of health-oriented...
In this paper we present an effective real-time video surveillance system for real-life outdoor surveillance scenarios. The system is an integration of two subsystems: the static camera and moving one. The approaches employed address properly the challenges that might arise in a typical outdoor scene, such as local and global lighting changes, variations in objects' appearance and occlusions. Our...
In this paper, a general algorithm for pedestrian detection by on-board monocular camera which can be applied to cameras of various view ranges in unified manner. The Spatio-Temporal MRF model extracts and tracks foreground objects as pedestrians and non-pedestrian distinguishing from background scenes as buildings by referring to motion difference. During the tracking sequences, cascaded HOG classifiers...
Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing...
Disjoint inter-camera object tracking is the task of tracking objects across video-surveillance cameras that have non-overlapping views. Unlike the closely related task of single-camera tracking, disjoint inter-camera tracking is difficult due to the gaps in observation as an object moves between camera views. To overcome this problem, appearance profiles of the objects seen in each camera are built...
Human, especially human-of-interest, detection and tracking is a necessary part for immersive and realistic human-computer interaction. Thus, we propose an intelligent multi-vision-based human detection and tracking system that consists of a visible camera, an infrared camera, a dynamic infrared lighting system, and a cold mirror. The system segments a human region of interest and tracks his/her motion...
This article focuses on realizing an object tracking and image capture system on a FPGA. The system processes each picture with size of 640×480 pixels which is coming from input image data captured by an external CCD camera. Firstly, the RGB format of input image data is transformed to HSV format through color space transformation. Secondly, the value (also called intensity) of HSV format image is...
An automatic object tracking technology is developed for a digital camera. We have developed a new modified object tracking algorithm based on K-means tracker algorithm that is adaptive to the change of the object shape and appearance. Several modifications for higher tracking performance and lower computation cost are introduced for the digital camera application.
In this paper, we present a video based detection framework for Intelligent Transportation System. We combine the invariant color features with GMM background model to eliminate shadows and highlighted background regions during moving object segmentation. Then we provide a novel global motion detector to detect camera motions. Finally, we introduce a lane detection technique for automatic structural...
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Upon the initial block-wise background subtraction, k-means clustering is used to enable the segmentation of single persons in the scene. The number of people in the scene is estimated as the maximal number of clusters with...
We present an unsupervised method to estimate the camera orientation angle on monocular video scenes in the H.264 compressed domain. The method is based on the presence of moving objects in the scene. We start by estimating the global camera motion based on the motion vectors present in the stream, detect and track moving objects and estimate their relative distance to the camera by analyzing the...
As background subtraction is a common computer vision task; we analyze the usual pixel-level approach. We develop an efficient adaptive algorithm system based on pixel comparison. Recursive comparison of pixel is used between the present frame and the reference frame. This algorithm is implemented using image processing in MatLAB Environment and we work on making it a real-time applicable tool for...
In this paper we present a novel method for real-time pose estimation and tracking on low-end devices such as mobile phones. The presented system can track multiple known targets in real-time and simultaneously detect new targets for tracking. We present a method to automatically and dynamically balance the quality of detection and tracking to adapt to a variable time budget and ensure a constant...
Due to the recent progress in computer vision to interpret images and sequence of images, the video camera is a promising sensor for traffic monitoring and traffic surveillance at low cost. This paper focuses on the detection and tracking of multiple vehicles present in the field of view of a camera. Until now, the vehicle detection has been mainly performed by the widely used technique called background...
Gaze tracking is the complex process of detecting where a person is looking. In this paper, we present a gaze tracking system that estimates the eye gaze by using a stable reference point created through the extraction of the sclera - otherwise known as the ??whites?? of the eye.
Wireless embedded smart cameras not only capture images, but also can perform processing and communication. However,many system- and algorithm-wise challenges remain to be addressed to have operational, battery-powered wireless smart-camera networks, since they have limited processing power, memory, energy and bandwidth. In this paper, we present a wireless, embedded smart camera system for cooperative...
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