基于优化YOLOv8和BoTSORT的行人多目标跟踪算法研究.pdf,摘要 摘要 近年来,随着计算机视觉技术的迅猛进步,多目标跟踪在当今社会已广泛应 用于智能安防、自动驾驶、智慧交通等多个领域,具有较高的学术研究和实际应 用的价值。行人多目标跟踪任务是在视频序列中准确地对行
autonomousdriving.Previousresearchonobjectdetectionalgorithmshasmainly focusedonimprovingdetectionaccuracy,butthelargemodelsizemakesitdifficult torunonlightweightdeviceswithlimitedcomputationalcapabilities.Toaddressthis issue,thispaperdelvesintotheconstructionoflightweighttrafficobjectdetection networksandintroducestwoinnovativelig...
面向小目标检测的改进YOLOv8算法研究.pdf,YOLOv8 YOLOv8 neck (1) YOLOv8 (2) YOLOv8 neck (3) IoU wise-IoU IoU HIoU YOLOv8 YOLOv8 HIoU I Abstract Abstract Research on Improved Yolov8 Algorithm For Small Target Detection Object detection is one of the most imp
Traffic signs are pivotal components of traffic management, ensuring the regulation and safety of road traffic. However, existing detection methods often suffer from low accuracy and poor real-time performance in dynamic road environments. This paper rev
Finally, section “Conclusion” Concludes the paper and suggests directions for future work. Method YOLOv8 To ensure adequate real-time detection capabilities, we selected the YOLO8 framework. While YOLOv8 has demonstrated exceptional performance in standard scenarios, it exhibits certain limitations in ...
PDF Tools Share Abstract Apple leaf lesions present a challenge for their detection and recognition because of their wide variety of species, morphologies, uneven sizes, and complex backgrounds. This paper proposes an improved multi-scale YOLOv8 for apple leaf dense lesion detection and recognition. ...
The layout of the paper is academic, with sections as follows: This paper aims to discuss the research problem, objectives, and significance in Section 1. In Section 2, this is succeeded by a literature review wherein the work contextualizes the current study to unearth and focus on the res...
The contributions of this paper can be summarized as follows: (1) A ghost module is introduced into the neck of the YOLOv8 model, replacing standard convolutions in the C2f mod- ule, to reduce the number of parameters and floating-point operations while maintaining detection accuracy. (2) ...
However, the findings of previous research are inconsistent, with some studies reporting sig- nificant difficulties in emotion recognition, while others show no difference compared to typically developing individuals. This variability may be due to the hetero- geneity of the ASD population, the ...
PDFAbstract Code AddRemoveMark official No code implementations yet. Submityour code now object-detectionObject Detection Datasets Add Datasetsintroduced or used in this paper Results from the Paper Edit AddRemove Submitresults from this paperto get state-of-the-art GitHub badges and help the communi...