Jianjun Li, Yue Sun, Baohua Zhang. Interactive Behavior Recognition Based on Sparse Coding Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181006
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181006 (2020)
Fig. 1. Pixel gray value of 3×3 window
Fig. 2. Neighborhood of circular symmetry. (a) (1,8); (b) (1.5,12); (c) (2,16)
Fig. 3. Processing results of the two modes. (a) Gray image; (b) original LBP operator; (c) improved LBP operator
Fig. 4. Neighborhood of pixel point
Fig. 5. Adjacent pixel
Fig. 6. Edges extracted by different thresholds. (a) Depth image; (b) automatic threshold; (c) threshold range is [0.32,0.8]; (d) threshold range is [0.08,0.2]
Fig. 7. Specific steps of the ScSPM model
Fig. 8. Flow chart of our algorithm
Fig. 9. Recognition results of the CAD-60 dataset
Fig. 10. Recognition results of the MSR Action Pairs dataset
Fig. 11. Recognition results of the SBU Kinect interaction dataset
|
Table 1. Recognition rates of different algorithms (CAD-60 dataset)
|
Table 2. Recognition rates of different algorithms (MSR Action Pairs dataset)
|
Table 3. Recognition rates of different algorithms (SBU Kinect interaction dataset)
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20