Fast Vehicle Detection
1 papers with code • 0 benchmarks • 1 datasets
Fast vehicle detection is the task of detecting fast or speeding vehicles from video footage.
Benchmarks
These leaderboards are used to track progress in Fast Vehicle Detection
Autorickshaw Image Dataset | Niche Vehicle Dataset
Latest papers with no code
Robust and Fast Vehicle Detection using Augmented Confidence Map
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc.
Fast vehicle detection algorithm based on lightweight YOLO7-tiny
The swift and precise detection of vehicles plays a significant role in intelligent transportation systems.
Fast Vehicle Detection and Tracking on Fisheye Traffic Monitoring Video using CNN and Bounding Box Propagation
We design a fast car detection and tracking algorithm for traffic monitoring fisheye video mounted on crossroads.
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Based on these findings, we present a scale-insensitive convolutional neural network (SINet) for fast detecting vehicles with a large variance of scales.
Fast Vehicle Detection in Aerial Imagery
In recent years, several real-time or near real-time object detectors have been developed.
Evolving Boxes for Fast Vehicle Detection
We perform fast vehicle detection from traffic surveillance cameras.
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
Vehicle detection and annotation for streaming video data with complex scenes is an interesting but challenging task for urban traffic surveillance.
