원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.1
2016.01
pp.323-334
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introudction
2. The Overview of the Proposed Method
3. Local Feature Extraction and Representation
3.1 Interest Points Detection
3.2 The 3D-SIFT Descriptor of Spqtio-Temporal Interest Points
3.3 The BoW Descriptor of Spatio-Temporal Interest Point
4. The Gloval Feature Extraction and Representation
5. Classifier Design
5.1 Fram Nearest Neighbor Recognition Method
5.2 Two Kinds of Feature Decision Fusion
6. Algorithm Verification and Results Analysis
6.1 Dataset
6.2 Testing Results
6.3 The Comparison of the Performance
References
1. Introudction
2. The Overview of the Proposed Method
3. Local Feature Extraction and Representation
3.1 Interest Points Detection
3.2 The 3D-SIFT Descriptor of Spqtio-Temporal Interest Points
3.3 The BoW Descriptor of Spatio-Temporal Interest Point
4. The Gloval Feature Extraction and Representation
5. Classifier Design
5.1 Fram Nearest Neighbor Recognition Method
5.2 Two Kinds of Feature Decision Fusion
6. Algorithm Verification and Results Analysis
6.1 Dataset
6.2 Testing Results
6.3 The Comparison of the Performance
References
저자정보
참고문헌
자료제공 : 네이버학술정보