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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xia Liu Fujimura, K. |
| Copyright Year | 1967 |
| Abstract | A method is presented for pedestrian detection using a stereo night-vision system installed on the vehicle. Much of the work in this area makes use of shape information. The proposed method detects moving objects whose motions are not consistent with the movement of the background and is considered to be complementary to shape-based approaches. In this paper, two new techniques are introduced for this task for night vision, namely a two-stage method for stereo correspondence and motion detection without explicit ego-motion calculation. These techniques make use of characteristics of night-vision video data, in which humans appear as hotspots. This method works well in cases where the camera motion has a dominant translational motion with a small amount of rotational motion, which is suitable for the camera on the vehicle. Error analysis as well as experimental results are presented to validate our approach and comparisons have been carried out between our approach and frame-by-frame based pattern-recognition approaches. |
| Sponsorship | IEEE Vehicular Technology Society |
| Starting Page | 1657 |
| Ending Page | 1665 |
| Page Count | 9 |
| File Size | 1609541 |
| File Format | |
| ISSN | 00189545 |
| Volume Number | 53 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Night vision Cameras Humans Shape Object detection Layout Stereo vision Vehicle detection Vehicles Motion detection pedestrian detection Motion analysis from moving cameras night vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering |
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