Tracking and Abnormal Behavior Detection in Video Surveillance Using Optical Flow and Neural Networks.
Nida RasheedShoab A. KhanAdnan KhalidPublished in: AINA Workshops (2014)
Keyphrases
- video surveillance
- abnormal behavior
- optical flow
- moving objects
- surveillance scenarios
- object tracking
- video surveillance systems
- human detection
- motion detection
- computer vision
- event detection
- surveillance system
- multiple cameras
- surveillance videos
- pedestrian tracking
- shadow detection
- background subtraction
- detection of moving objects
- moving object detection
- motion segmentation
- high risk
- image sequences
- ptz camera
- motion model
- foreground detection
- detection algorithm
- traffic monitoring
- activity analysis
- frame differencing
- background modeling
- smoke detection
- particle filter
- motion estimation
- moving camera
- moving target
- foreground objects
- flow field
- partial occlusion
- visual tracking
- preprocessing
- multi camera
- object recognition
- multi class
- machine learning
- object detection
- image classification