ML Anthology

ASSET-2: Real-Time Motion Segmentation and Shape Tracking

Stephen M. Smith
ICCV 1995 pp. 237-244
doi:10.1109/ICCV.1995.466780 /iccv/1995/smith1995iccv-asset/

Abstract

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Smith. "ASSET-2: Real-Time Motion Segmentation and Shape Tracking." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466780

Markdown

[Smith. "ASSET-2: Real-Time Motion Segmentation and Shape Tracking." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/smith1995iccv-asset/) doi:10.1109/ICCV.1995.466780

BibTeX

@inproceedings{smith1995iccv-asset,
  title     = {{ASSET-2: Real-Time Motion Segmentation and Shape Tracking}},
  author    = {Smith, Stephen M.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1995},
  pages     = {237-244},
  doi       = {10.1109/ICCV.1995.466780},
  url       = {https://mlanthology.org/iccv/1995/smith1995iccv-asset/}
}