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We proposed a novel approach to track groups of people observed by a static camera. The approach relies on a unified Bayes' theorem based framework to model both scene background and the color distribution of targets. By sharing the framework, it is more simple and low cost to construct a practical surveillance system. Additionally, the framework has the advantages of insensitiveness to initial observations...
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...
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...
We propose a novel inertial-aided KLT feature tracking method robust to camera ego-motions. The conventional KLT uses images only and its working condition is inherently limited to small appearance change between images. When big optical flows are induced by a camera-ego motion, an inertial sensor attached to the camera can provide a good prediction to preserve the tracking performance. We use a low-grade...
A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem. A dictionary made of atoms representing the silhouettes of a person at a given location is used within the problem formulation. A reweighted scheme is considered to better...
This paper presents a video tracking system for tracking players in indoor sports using two high quality digital cameras. The tracking algorithm is a based on template matching technique taking into consideration closed world assumptions. The output of the system can be visualized interactively for convenient analysis of player movements. The implementation has been efficiently done as a software...
Detecting moving objects is an important part of tracking. Most of the previous work on moving object detection concentrates on fixed cameras. Methods using moving cameras seldom deal with the problem of robustly and continuously updating the background model during all times including the periods when the camera is not static. We propose a method to build and continuously update a background model,...
In this paper, augmented reality techniques are used in order to create a virtual mirror for the real-time visualization of customized sports shoes. Similar to looking into a mirror when trying on new shoes in a shop, we create the same impression but for virtual shoes that the customer can design individually. For that purpose, we replace the real mirror by a large display that shows the mirrored...
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