Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10340985 | Computers & Electrical Engineering | 2014 | 8 Pages |
Abstract
- We proposed a novel multiple moving object detection technique.
- Objects representing pedestrians are detected using shape- and skin-based conditions.
- Our human tracking technique uses HOG-based features and an object matching process.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Tudor Barbu,