Comparison of tracking performance of different methods.

Comparison of tracking performance of different methods.

<p>Comparison of tracking performance of different methods.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Guofeng Qin (11025170) (author)
مؤلفون آخرون: Rongting Pan (22560172) (author), Yi Deng (421971) (author), Peiwen Mi (20678488) (author), Yongjian Zhu (6562817) (author)
منشور في: 2025
الموضوعات:
Ecology
Cancer
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
small object scenarios
pixel small object
experimental results show
eiou loss function
effectively track targets
ciou loss function
9 %, respectively
lightweight shufflenetv2 network
poor tracking stability
model &# 8217
tracking algorithm based
road pedestrian detection
deepsort tracking framework
5 %, respectively
3 %, improving
yolov5s detection network
improved yolov5s achieves
deepsort </ p
pedestrian detection
improved yolov5s
deepsort achieves
3 %,
backbone network
original algorithm
original yolov5s
enhanced yolov5s
detection performance
detection layer
model size
model parameters
xlink ">
traffic roads
paper proposes
neck structure
maintaining accuracy
low accuracy
identity switches
head self
dense occlusion
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