TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video.
Mario Alberto Duran-VegaMiguel González-MendozaLeonardo ChangCuauhtemoc Daniel Suarez-RamirezPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- real time
- face detection and tracking
- detection algorithm
- real time video
- spatial and temporal
- detection method
- neural network
- temporal consistency
- video processing
- temporal information
- face detection
- reservoir computing
- shot change detection
- feed forward
- space time
- artificial neural networks
- video images
- echo state networks
- recurrent networks
- temporal segmentation
- feedforward neural networks
- event detection
- surveillance videos
- spatio temporal
- temporal analysis
- multimedia
- false alarms
- object detectors
- temporal structure
- cascade correlation
- neural model
- video streams
- video surveillance
- virus detection
- temporal coherence
- matched filter
- object detection
- live video
- video frames
- decision making
- artificial intelligence
- machine learning
- soccer video
- temporal correlation
- motion trajectories
- video analysis