光流法应用于门禁系统——检测行人

Halcom

具体代码如下：

1. * 初始化窗口
   
2. dev_update_off ()
   
3. read_image (Image1, 'bicycle/bicycle_01')
   
4. * 缩放图像--缩小一倍
   
5. ZoomFactor := 0.5
   
6. zoom_image_factor (Image1, Image1, ZoomFactor, ZoomFactor, 'constant')
   
7. dev_close_window ()
   
8. dev_open_window_fit_image (Image1, 0, 0, -1, -1, WindowHandle)
   
9. * 显示区域的轮廓
   
10. dev_set_draw ('margin')
    
11. *
    
12. * 产生监控区域，门禁外所在区域
    
13. gen_contour_polygon_xld (ROI, [0,0,283,348,479,479] * ZoomFactor, [0,379,379,434,639,0] * ZoomFactor)
    
14. gen_region_contour_xld (ROI, RegionROI, 'filled')
    
15. reduce_domain (Image1, RegionROI, Image1ROI)
    
16. * 主循环
    
17. for I := 2 to 9 by 1
    
18.     read_image (Image2, 'bicycle/bicycle_0' + I)
    
19.     * 缩放图像--缩小一倍
    
20.     zoom_image_factor (Image2, Image2, ZoomFactor, ZoomFactor, 'constant')
    
21.     reduce_domain (Image2, RegionROI, Image2ROI)
    
22.     * 光流矢量场模型
    
23.     optical_flow_mg (Image1ROI, Image2ROI, VectorField, 'fdrig', 0.8, 1, 10, 5, ['default_parameters','warp_zoom_factor'], ['fast',0.8])
    
24.     vector_field_length (VectorField, LengthImage, 'squared_length')
    
25.     *
    
26.     * 在监控的区域分割目标
    
27.     min_max_gray (RegionROI, LengthImage, 0.1, Min, Max, Range)
    
28.     dev_display (Image2)
    
29.     if (Max > 2)
    
30.         threshold (LengthImage, RegionMovement, 2, Max)
    
31.         connection (RegionMovement, ConnectedRegions)
    
32.         * 选择最大的目标区域
    
33.         select_shape_std (ConnectedRegions, RegionMovement, 'max_area', 70)
    
34.         area_center (RegionMovement, Area, RCenterNew, CCenterNew)
    
35.         if (Area > 0)
    
36.             * 转化为凸多边形
    
37.             shape_trans (RegionMovement, ConvexHullregion, 'convex')
    
38.             intersection (RegionROI, ConvexHullregion, RegionMovementInROI)
    
39.             reduce_domain (VectorField, ConvexHullregion, VectorReduced)
    
40.             vector_field_to_real (VectorReduced, Row, Column)
    
41.             *
    
42.             * 估计目标运动的方向和速度
    
43.             intensity (RegionMovementInROI, Row, MeanRow, Deviation)
    
44.             intensity (RegionMovementInROI, Column, MeanColumn, Deviation1)
    
45.             *
    
46.             * 显示结果
    
47.             dev_set_line_width (1)
    
48.             dev_set_color ('yellow')
    
49.             dev_display (VectorReduced)
    
50.             * Display region of interest
    
51.             dev_set_line_width (3)
    
52.             dev_set_color ('magenta')
    
53.             dev_display (RegionROI)
    
54.             * 显示运动的目标
    
55.             dev_set_color ('green')
    
56.             dev_display (RegionMovementInROI)
    
57.             gen_arrow_contour_xld (Arrow, RCenterNew, CCenterNew, RCenterNew + MeanRow, CCenterNew + MeanColumn, 10, 10)
    
58.             dev_display (Arrow)
    
59.         endif
    
60.     endif
    
61.     *
    
62.     copy_obj (Image2ROI, Image1ROI, 1, 1)
    
63. endfor

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参考：【1】基于光流法的运动目标检测