Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering.
Mingzuoyang ChenShadi BanitaanMina MalekiPublished in: IEEE Access (2023)
Keyphrases
- crowded scenes
- object detection
- human detection
- pedestrian detection
- clustering algorithm
- k means
- multi target tracking
- detecting and tracking multiple
- anomaly detection
- face detection and tracking
- cluttered background
- behavior analysis
- real time
- data clustering
- detection algorithm
- particle filter
- space time
- pedestrian tracking
- automatic detection
- object detection and tracking
- hierarchical clustering
- detection accuracy
- unsupervised learning
- homogeneous groups
- object tracking
- self organizing maps
- false positives
- clustering method
- hand detection
- pose estimation
- false detections
- similar objects
- motion detection
- fuzzy clustering
- detection rate
- target tracking
- categorical data
- false alarms
- particle filtering
- person detection
- visual tracking
- document clustering
- outlier detection