Journal ArticleDOI
A 2D/3D model-based object tracking framework
TLDR
A robust framework for tracking complex objects in video sequences that exploits the advantages of MHT algorithm which is capable of resolving data association/uncertainty and integrates it with object matching techniques to provide a robust behavior while trackingcomplex objects.About:
This article is published in Pattern Recognition.The article was published on 2003-09-01. It has received 21 citations till now. The article focuses on the topics: Video tracking & Image plane.read more
Citations
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Journal ArticleDOI
3D model comparison using spatial structure circular descriptor
TL;DR: An SSCD-based 3D model comparison algorithm that can preserve the global spatial structure of 3D models, and is invariant to rotation and scaling is presented.
Journal ArticleDOI
A Methodology for Object Identification and Tracking in Construction Based on Spatial Modeling and Image Matching Techniques
TL;DR: In this article, a high-frame-rate range sensor was utilized for spatial data acquisition and an occupancy grid spatial modeling algorithm could quickly build a suitable work zone model from the acquired data.
A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques
TL;DR: The experimental results indicated that an occupancy grid spatial modeling algorithm could quickly build a suitable work zone model from the acquired data and showed that an image matching algorithm is able to find the most similar object from a model database and from spatial models obtained from previous scans.
Journal ArticleDOI
A Framework for Model-Based Tracking Experiments in Image Sequences
TL;DR: Motris, an integrated system for model-based tracking research, has been designed modularly to study the effects of algorithmic variations on tracking results and allows an in-depth comparison between the so-called ‘Edge-Element Association’ approach documented in Haag and Nagel (1999) and the more recent ‘Expectation-Maximization” approach reported by Pece and Worrall (2002).
Journal Article
A Crash Avoidance Framework for Heavy Equipment Control Systems Using 3D Imaging Sensors
TL;DR: This paper presents a preliminary crash avoidance framework for heavy equipment control systems that contains algorithms for spatial modeling, object tracking, and path planning that can successfully track objects in an environment and produce a collision-free 3D motion trajectory for equipment.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
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Comparing images using the Hausdorff distance
TL;DR: Efficient algorithms for computing the Hausdorff distance between all possible relative positions of a binary image and a model are presented and it is shown that the method extends naturally to the problem of comparing a portion of a model against an image.
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W/sup 4/: real-time surveillance of people and their activities
TL;DR: W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.