Using Shape Features and SVMs-Mixture Model Neural Networks to Pedestrian Detection
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 98 === This paper proposes a real-time pedestrian detection system, which gets the object area image through the real-time input image and extraction it signature feature, it classifies the feature of the real-time pedestrians through the proposed SVMs-mixture model ne...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/08571879164782645270 |