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Methods and Means for Small Dynamic Objects Recognition and Tracking

Computers, Materials & Continua 2022年第11期73卷 3649-3665页

作者： dmytro kushnir Department of Computer Engineering Lviv Polytechnic National UniversityLviv79013Ukraine

A literature analysis has shown that object search,recognition,and tracking systems are becoming increasingly ***,such systems do not achieve high practical results in analyzing small moving living objects ranging from 8 to 14 *** article examines methods and tools for recognizing and tracking the class of small moving objects,such as *** fulfill those aims,a customized You Only Look Once Ants Recognition(YOLO_AR)Convolutional Neural Network(CNN)has been trained to recognize Messor Structor ants in the laboratory using the LabelImg object marker *** proposed model is an extension of the You Only Look Once v4(Yolov4)512×512 model with an additional Self Regularized Non–Monotonic(Mish)activation ***,the scalable solution for continuous object recognizing and tracking was *** solution is based on the OpenDatacam system,with extended Object Tracking modules that allow for tracking and counting objects that have crossed the custom boundary *** the study,the methods of the alignment algorithm for finding the trajectory of moving objects were modified.I discovered that the Hungarian algorithm showed better results in tracking small objects than the K–D dimensional tree(k-d tree)matching algorithm used in ***,such an algorithm showed better results with the implemented YOLO_AR model due to the lack of False Positives(FP).Therefore,I provided a new tracker module with a Hungarian matching algorithm verified on the Multiple Object Tracking(MOT)***,additional customization parameters for object recognition and tracking results parsing and filtering were added,like boundary angle threshold(BAT)and past frames trajectory prediction(PFTP).Experimental tests confirmed the results of the study on a mobile *** the experiment,parameters such as the quality of recognition and tracking of moving objects,the PFTP and BAT,and the configuration parameters of the neural network an

关键词： Object detection artificial intelligence object tracking object counting small movable objects ants tracking ants recognition YOLO_AR Yolov4 Hungarian algorithm k-d tree algorithm MOT benchmark image labeling movement prediction

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