Object detection is one of the most interesting branches in computer vision. Accurate detection systems can be utilized to various areas. There are two steps in detection, feature extraction and classification. In this paper, new feature extraction method is proposed. Histogram Oriented Gradient (HOG) is famous, fast and accurate feature, but it is not rotation invariant. This paper proposes a new shape of HOG for fast detection of rotated objects. The proposed method is faster than conventional method in rotational object detection.
|Title of host publication||2015 International Joint Conference on Neural Networks, IJCNN 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|ISBN (Electronic)||9781479919604, 9781479919604, 9781479919604, 9781479919604|
|Publication status||Published - 2015 Sep 28|
|Event||International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland|
Duration: 2015 Jul 12 → 2015 Jul 17
|Name||Proceedings of the International Joint Conference on Neural Networks|
|Other||International Joint Conference on Neural Networks, IJCNN 2015|
|Period||15/7/12 → 15/7/17|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence