Cloud Detection and Tracking Based on Object Detection with Convolutional Neural Networks.
Jose Antonio CarballoJavier BonillaJesus Fernandez-RecheBijan NouriAntonio Avila-MarinYann FabelDiego-César Alarcón-PadillaPublished in: Algorithms (2023)
Keyphrases
- object detection
- convolutional neural networks
- human detection
- object detection and tracking
- object class
- computer vision
- face detection
- object detection in images
- detecting objects
- pedestrian detection
- object segmentation
- multi class
- cluttered background
- multi target tracking
- scene understanding
- false detections
- false alarms
- object detection and pose estimation
- object recognition
- object categories
- partial occlusion
- particle filter
- false positives
- kalman filter
- object detectors
- detection accuracy
- crowded scenes
- moving target
- face detection and tracking
- detection rate
- detecting and tracking multiple
- multiresolution
- joint detection
- person detection
- histograms of oriented gradients
- real time
- cloud computing
- detection method
- target tracking
- background modeling
- detection algorithm
- data management
- hog features
- mean shift
- object tracking
- background subtraction
- particle filtering
- multi class object detection
- coarse to fine