Vehicle tracking system and tracking method thereof
First Claim
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1. A vehicle tracking method, comprising the steps of:
- capturing a plurality of bright objects from an image by the bright object segmentation;
labeling coordinates of the plurality of bright objects by a connected component object labeling method to form a plurality of connected component objects;
identifying, analyzing and combining characteristics of the plurality of connected component objects by the bright object recognition to form a plurality of lamp objects; and
identifying the type of a vehicle having the plurality of lamp objects by vehicle detection/recognition, and counting the number of various vehicles;
wherein the bright object recognition respectively compares values of the aspect ratio, area and density of the plurality of connected component objects with a maximum aspect ratio threshold value, a minimum aspect ratio threshold value, a maximum area threshold value, a minimum area threshold value and a density critical threshold value to determine the characteristics of the plurality of connected component objects to capture the plurality of lamp objects; and
if the bright object recognition determines that any two of the connected component objects have a horizontal distance and a vertical distance smaller than a horizontal distance threshold value and a vertical distance threshold value respectively, then the paired connected component objects are combined to form a lamp object.
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Abstract
The present invention discloses a vehicle tracking system and method, and the tracking method comprises the steps of capturing a bright object from an image by the bright object segmentation; labeling the bright object by a connected component labeling method and forming a connected component object; identifying, analyzing and combining the characteristics of the connected component object to form a lamp object by the bright object recognition; tracking the trajectory of the lamp object by a multi-vehicle tracking method; and identifying the type of a vehicle having the lamp object by the vehicle detection/recognition and counting the number of various vehicles.
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Citations
10 Claims
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1. A vehicle tracking method, comprising the steps of:
- capturing a plurality of bright objects from an image by the bright object segmentation;
labeling coordinates of the plurality of bright objects by a connected component object labeling method to form a plurality of connected component objects;
identifying, analyzing and combining characteristics of the plurality of connected component objects by the bright object recognition to form a plurality of lamp objects; and
identifying the type of a vehicle having the plurality of lamp objects by vehicle detection/recognition, and counting the number of various vehicles;wherein the bright object recognition respectively compares values of the aspect ratio, area and density of the plurality of connected component objects with a maximum aspect ratio threshold value, a minimum aspect ratio threshold value, a maximum area threshold value, a minimum area threshold value and a density critical threshold value to determine the characteristics of the plurality of connected component objects to capture the plurality of lamp objects; and
if the bright object recognition determines that any two of the connected component objects have a horizontal distance and a vertical distance smaller than a horizontal distance threshold value and a vertical distance threshold value respectively, then the paired connected component objects are combined to form a lamp object. - View Dependent Claims (2, 3, 4, 5)
- capturing a plurality of bright objects from an image by the bright object segmentation;
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6. A vehicle tracking system, comprising:
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an image capture module, for capturing an image; a display module, for displaying the image; and a processing module, comprising; a bright object segmentation unit, for capturing a plurality of bright objects from an image; a connected component, for labeling coordinates of the plurality of bright objects by object labeling unit to form a plurality of connected component objects; a bright object identifying unit, for identifying, analyzing and combining characteristics of the plurality of connected component objects; a multi-vehicle tracking unit, for tracking a trajectory of the plurality of lamp objects; and a vehicle identifying unit, for identifying the type of a vehicle having the plurality of lamp objects; the processing module further counting the number of various vehicles to control the number of various vehicles displayed by the display module; wherein the bright object identifying unit respectively compares the values of aspect ratio, area and density of the plurality of connected component objects with a maximum aspect ratio threshold value, a minimum aspect ratio threshold value, a maximum area threshold value, a minimum area threshold value and a density critical threshold value to determine the characteristics of the plurality of connected component objects to capture the plurality of lamp objects; and
if the bright object recognition determines that any two of the connected component objects have a horizontal distance and a vertical distance smaller than a horizontal distance threshold value and a vertical distance threshold value respectively, then the paired connected component objects are combined to form a lamp object. - View Dependent Claims (7, 8, 9, 10)
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Specification