文件名称:68da9a50fa9bfd83b4a6c25300eee96d7cac
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In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is developed to separate
infrared images into background (still) and foreground (moving) layers regardless of camera panning. In the two-pass scheme of
detecting pedestrians from the foreground layer: shape cue is first used to eliminate non-pedestrian moving objects and then appearance
cue helps to locate the exact position of pedestrians.
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is developed to separate
infrared images into background (still) and foreground (moving) layers regardless of camera panning. In the two-pass scheme of
detecting pedestrians from the foreground layer: shape cue is first used to eliminate non-pedestrian moving objects and then appearance
cue helps to locate the exact position of pedestrians.
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 68da9a50fa9bfd83b4a6c25300eee96d7cac.pdf | 1314307 | 2018-02-07 |