Exploiting Deeply Supervised Inception Networks for Automatically Detecting Traffic Congestion on Freeway in China Using Ultra-Low Frame Rate Videos.
Zhu SunPing WangJun WangXiaoyu PengYinli JinPublished in: IEEE Access (2020)
Keyphrases
- automatically detecting
- traffic congestion
- low frame rate
- traffic flow
- travel time
- automatic detection
- frame rate
- low resolution
- high speed
- high resolution
- gait recognition
- high frame rate
- traffic data
- semi supervised
- depth video
- soccer video
- road network
- cellular automata
- super resolution
- video sequences
- supervised learning
- real time
- video data
- urban areas
- image processing
- feature selection
- video analysis
- motion estimation
- object recognition
- high quality
- image sequences
- computer vision