ASSET-2: real-time motion segmentation and shape tracking

Massachusetts Institute of Technology, Cambridge, Massachusetts June 20-June 23

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http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466780

Fifth International Conference on Com ...

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	S.M. Smith, "ASSET-2: real-time motion segmentation and shape tracking," Computer Vision, IEEE International Conference on, pp. 237, Fifth International Conference on Computer Vision (ICCV'95), 1995.

	BibTex	x
	@article{ 10.1109/ICCV.1995.466780, author = {S.M. Smith}, title = {ASSET-2: real-time motion segmentation and shape tracking}, journal ={Computer Vision, IEEE International Conference on}, volume = {0}, year = {1995}, isbn = {0-8186-7042-8}, pages = {237}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466780}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision, IEEE International Conference on TI - ASSET-2: real-time motion segmentation and shape tracking SN - 0-8186-7042-8 SP EP A1 - S.M. Smith, PY - 1995 KW - image sequences; motion estimation; image segmentation; tracking; object detection; real-time systems; ASSET-2; real-time motion segmentation; real-time shape tracking; image sequences; moving video camera; object tracking; object detection; moving background; A Scene Segmenter Establishing Tracking; first-order flow fields; 2D radial map representation VL - 0 JA - Computer Vision, IEEE International Conference on ER -

S.M. Smith, Defence Res. Agency, Chertsey, UK

The paper describes how image sequences taken by a moving video camera may be processed to detect and track moving objects against a moving background in real-time. The motion segmentation and shape tracking system as known as ASSET-2-A Scene Segmenter Establishing Tracking, Version 2. Motion is found by tracking image features, and segmentation is based on first-order (i.e., six parameter) flow fields. Shape tracking is performed using two dimensional radial map representation. The system runs in real-time, and is accurate and reliable. It requires no camera calibration and no knowledge of the camera's motion.

Index Terms:

image sequences; motion estimation; image segmentation; tracking; object detection; real-time systems; ASSET-2; real-time motion segmentation; real-time shape tracking; image sequences; moving video camera; object tracking; object detection; moving background; A Scene Segmenter Establishing Tracking; first-order flow fields; 2D radial map representation

Citation:

S.M. Smith, "ASSET-2: real-time motion segmentation and shape tracking," iccv, pp.237, Fifth International Conference on Computer Vision (ICCV'95), 1995

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