Human detection and tracking with deep convolutional neural networks under the constrained of noise and occluded scenes.
Ejaz Ul HaqJianjun HuangKang LiHafeez Ul HaqPublished in: Multim. Tools Appl. (2020)
Keyphrases
- human detection
- convolutional neural networks
- crowded scenes
- action recognition
- human tracking
- object detection
- video surveillance
- surveillance system
- object tracking
- histograms of oriented gradients
- background subtraction
- partial occlusion
- pedestrian detection
- computer vision
- hog features
- complex scenes
- behavior analysis
- mean shift
- human pose estimation
- multi class
- viewpoint
- object recognition