Intrusion object recognition of rail perimeter using an improved YOLOv5 algorithm.
Shiding GuoWeibing ZhuYukai FengLanai ChengShaohua MiaoLirong LianTangwen YangYe LiSitao ZhangLingyun ZhangXin WangXin YuPublished in: M2VIP (2023)
Keyphrases
- object recognition
- detection algorithm
- computationally efficient
- search space
- times faster
- preprocessing
- learning algorithm
- dynamic programming
- cost function
- theoretical analysis
- high accuracy
- computational cost
- significant improvement
- k means
- convergence rate
- computer vision
- image matching
- probabilistic model
- selection algorithm
- scheduling problem
- expectation maximization
- simulated annealing
- optimization algorithm
- experimental evaluation
- np hard
- image sequences
- clustering algorithm
- improved algorithm