Analysis of People Flow Image Detection System Based on Computer Vision Sensor
نویسندگان
چکیده
In order to meet the needs of accurately grasping situation people in mall at all times, author proposes an analysis method based on computer vision for flow image detection system. This combines HOG feature with SVM classifier, detects pedestrians through dual cameras, and builds experimental research platform dual-camera joint pedestrians. The result shows that error rate human detected by author’s is lowest 0% highest 6.25%. Conclusion. has a good effect statistics number shopping can reduce workload monitoring personnel mall.
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ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2022
ISSN: ['1687-725X', '1687-7268']
DOI: https://doi.org/10.1155/2022/8099876