Journal ArticleDOI
Video object tracking using adaptive Kalman filter
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TLDR
The proposed method has the robust ability to track theMoving object in the consecutive frames under some kinds of real-world complex situations such as the moving object disappearing totally or partially due to occlusion by other ones, fast moving object, changing lighting, changing the direction and orientation of the movingobject, and changing the velocity of moving object suddenly.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2006-12-01. It has received 314 citations till now. The article focuses on the topics: Video tracking & Kalman filter.read more
Citations
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Dissertation
Online Multiple Face Detection and Tracking from Video
TL;DR: It is suggested that within the next few years, as well as within the coming years, further efforts should be made to promote awareness of these mechanisms and their role in the education system.
Posted Content
Adaptive Learning Kalman Filter with Gaussian Process
TL;DR: In this article, an adaptive Kalman filter is proposed to estimate both the state and the unknown disturbance concurrently, while learning the disturbance as a stochastic process of the state vector.
Journal ArticleDOI
Short-term and Fast Tracking Algorithm of Vehicle with Distance Information
TL;DR: This paper designs a short-term and fast tracking algorithm which integrates vehicle distance information and the effectiveness of the algorithm in scale optimization is proved by experiments.
Journal ArticleDOI
Study analysis on tracking multiple objects in presence of inter occlusion in unmanned lc
TL;DR: This paper provides Mutual tracking algorithm which improve the estimation inaccuracy and the robustness of clutter environment when it uses Kalman Filter and uses this algorithm to avoid the problem of id switch in continuing occlusions.
Journal ArticleDOI
Acquiring Kinematics of Lower extremity with Kinect
İrfan Kösesoy,Cemil Öz +1 more
TL;DR: In this paper , the kinematic parameters of lower human extremities are determined using Kinect, a camera called Time of Flight that is usually used in the entertainment sector, by filtering RGB images of colored markers that are attached to joints.
References
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BookDOI
An Introduction to the Kalman Filter
Greg Welch,Gary Bishop +1 more
TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.
Journal ArticleDOI
A Survey of Computer Vision-Based Human Motion Capture
Thomas B. Moeslund,Erik Granum +1 more
TL;DR: A comprehensive survey of computer vision-based human motion capture literature from the past two decades is presented, with a general overview based on a taxonomy of system functionalities, broken down into four processes: initialization, tracking, pose estimation, and recognition.
Proceedings ArticleDOI
Moving target classification and tracking from real-time video
TL;DR: An end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to image-based properties, and then robustly tracking them is described.
Journal ArticleDOI
Robust online appearance models for visual tracking
TL;DR: A framework for learning robust, adaptive, appearance models to be used for motion-based tracking of natural objects to provide robustness in the face of image outliers, while adapting to natural changes in appearance such as those due to facial expressions or variations in 3D pose.
Book ChapterDOI
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
TL;DR: A probabilistic method for tracking 3D articulated human figures in monocular image sequences that relies only on a frame-to-frame assumption of brightness constancy and hence is able to track people under changing viewpoints, in grayscale image sequences, and with complex unknown backgrounds.