Pedestrian Detection and Tracking in Far Infrared Images

@article{Yasuno2004PedestrianDA,
  title={Pedestrian Detection and Tracking in Far Infrared Images},
  author={Masahiro Yasuno and Noboru Yasuda and Masayoshi Aoki},
  journal={2004 Conference on Computer Vision and Pattern Recognition Workshop},
  year={2004},
  pages={125-125}
}
In this paper describes an approach for pedestrian detection in far infrared images. The height of a camera was set up so that people's head might be photoed by the vertical central part of images. In infrared images pedestrians belong to the upper range in the grey-level. Therefore, detects the core (especially face) of a head using the P-tile method. In this approach detects the head area candidate using binarization variable threshold in the search region around core, lowering a threshold… CONTINUE READING
Highly Cited
This paper has 50 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 33 extracted citations

Multi-object detection and tracking via kernel covariance factorization in thermal video

2017 51st Asilomar Conference on Signals, Systems, and Computers • 2017
View 1 Excerpt

fewer than 50 Citations

051015'07'10'13'16'19
Citations per Year
Semantic Scholar estimates that this publication has 50 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

HeadFinder : A Human Tracking System Based on Frame Difference ”

Naruatu BABA
A Study on Extraction and Tracking Method of Walkers in Full - time Operating ” • 2003

” Intruder Detection System using Infrared Camera and Range Finder

Akio Ueda
Symposium on Sensing via Image Information • 2000

Similar Papers

Loading similar papers…