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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,...
This work obtains shaking-free route panoramas from a vehicle borne camera. We detect the shaking and waving profile of the camera and rectify a long route panorama automatically for an ideal parallel-perspective projection. Different from the traditional flow based approach that works on entire frame by point tracking, we create a stationary blurred temporal image called condensed slice during the...
In this paper, we propose a hand-held mobile projection system that can freely project keystone free content on a general flat surface without any markings. Such a projection system can give the user great freedom of control of the display such as viewing angle and distance without suffering from distortion. We attach a camera to the projector to form a stereo pair. The correction of the display content...
In this paper, we describe a real-time vision-based tracking system to help students who are blind or visually impaired (SBVI) to follow instructional discourse that employs graphical illustrations. The vision system employs a color model based tracking for both the instructor's pointing behavior and the SBVI's reading behavior, and maps the pointing positions into the same coordinates. Our Haptic...
We present a real-time pedestrian detection system based on structure and appearance classification. We discuss several novel ideas that contribute to having low-false alarms and high detection rates, while at the same time achieving computational efficiency: (i) At the front end of our system we employ stereo to detect pedestrians in 3D range maps using template matching with a representative 3D...
We present a novel method for the real-time creation and tracking of panoramic maps on mobile phones. The maps generated with this technique are visually appealing, very accurate and allow drift-free rotation tracking. This method runs on mobile phones at 30 Hz and has applications in the creation of panoramic images for offline browsing, for visual enhancements through environment mapping and for...
We present an approach for real-time tracking of a non-rigid target with a moving pan-tilt-zoom (PTZ) camera. The tracking of the object and control of the camera is handled by one computer in real time. The main contribution of the paper is method for target representation, localisation and detection, which takes into account both foreground and background properties, and is more discriminative than...
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...
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...
This paper proposes the use of a Visual Sensor Network (VSN) for tracking the motion of tennis players on court in real-time. The proposed autonomous and wireless VSN nodes are miniaturised and powered by battery, making them ideally suited for monitoring training sessions and matches at any location. With the proposed framework, the player is tracked in the image plane using a statistical background...
In human health and performance studies, there is a need to detect, track and describe human subjects in real-time and in three-dimensional (3D) space. The work presented here is motivated by the problem of detecting human subjects in physical spaces, reconstructing their location in 3D, describing their spectral characteristics at each 3D location, and rendering 3D and spectral characteristics in...
In the field of minimally invasive surgery one barrier in clinical practice is the limited field of view provided by endoscopic cameras. We propose an image mosaicking approach to extend the field of view for real-time visualization by stitching several video frames. The approach is based on feature tracking and a robust estimation of the image-to-image transformations. We compare its performance...
In this paper we present a real-time object tracking system for monocular video sequences with static camera. The workflow is based on a pixel-based foreground detection system followed by foreground object tracking. The foreground detection method performs the segmentation in three levels: Moving Foreground, Static Foreground and Background level. The tracking uses the foreground segmentation for...
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