Application of Support Vector Machine Based on Optimized Kernel Function in People Detection

Meng Yang; Bao Zhang; Yulong Song

doi:10.3788/LOP55.041001

Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041001(2018)

Application of Support Vector Machine Based on Optimized Kernel Function in People Detection

Meng Yang^1,2、*, Bao Zhang¹, and Yulong Song¹

¹ Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China

² University of Chinese Academy of Sciences, Beijing 100049, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(13)

Fig. 1. Schematic of linear inseparable problem

Download full size

Fig. 2. Schematic of original space to high-dimensional feature space

Download full size

Fig. 3. Schematic of near linear separable problem

Download full size

Fig. 4. Feature extraction diagram. Results of (a) gray processing, (b) Gamma correction, and (c) gradient image

Download full size

Fig. 5. Graph of kernel function. (a) Polynomial kernel function curve; (b) Gaussian kernel function curve

Download full size

Fig. 6. Graph of combined kernel function

Download full size

Fig. 7. Comparison of recognition rate

Download full size

Fig. 8. Line chart of the change of recognition rate with C. (a) Polynomial kernel function; (b) Gaussian kernel function; (c) combined kernel function

Download full size

Fig. 9. Comparison of the recognition rate between proposed algorithm and traditional algorithms

Download full size

Fig. 10. Results of people detection

Download full size

Table 1. Change of recognition rate with d
View table
Table 1. Change of recognition rate with d
d 1 2 3 4 5 6 7 8 9
Recognition rate /% 97.50 96.73 95.99 95.20 94.43 93.60 92.80 92.00 91.54

Table 2. Change of recognition rate with σ
View table
Table 2. Change of recognition rate with σ
σ 0.1 0.2 0.5 0.7 1.0 1.5 2.0 3.0 4.0
Recognition rate /% 96.63 97.20 96.84 96.00 95.72 95.40 95.00 94.64 94.12

Table 3. Change of recognition rate with α1
View table
Table 3. Change of recognition rate with α1
α₁ 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Recognition rate /% 96.24 96.76 97.34 97.22 97.84 97.95 97.92 98.25 98.50

Tools

Get Citation

Copy Citation Text

Meng Yang, Bao Zhang, Yulong Song. Application of Support Vector Machine Based on Optimized Kernel Function in People Detection[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites