Papers Fast Vehicle Detection
“Fast Vehicle Detection” 태그가 달린 논문 8편 · 필터 해제
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. This paper presents a new method reli…
Fast Vehicle Detectionvehicle detectionFast vehicle detection algorithm based on lightweight YOLO7-tiny
The swift and precise detection of vehicles plays a significant role in intelligent transportation systems. Current vehicle detection algorithms encounter challenges of high computational complexity, low detection rate, …
Fast Vehicle Detectionvehicle detectionFast 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. We use ICIP 2020 VIP Cup dataset and adopt YOLOv5 as the object detection base model. The nighttime video …
Fast Vehicle Detectionobject-detectionObject Detectionvehicle detectionLittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm
Vehicle detection in real-time is a challenging and important task. The existing real-time vehicle detection lacks accuracy and speed. Real-time systems must detect and locate vehicles during criminal activities like the…
Fast Vehicle Detectionobject-detectionObject Detectionvehicle detectionSINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based algorithms suffer from the problem that th…
Fast Vehicle Detectionobject-detectionObject Detectionvehicle detectionFast Vehicle Detection in Aerial Imagery
In recent years, several real-time or near real-time object detectors have been developed. However these object detectors are typically designed for first-person view images where the subject is large in the image and do…
Fast Vehicle DetectionObjectvehicle detectionEvolving Boxes for Fast Vehicle Detection
We perform fast vehicle detection from traffic surveillance cameras. A novel deep learning framework, namely Evolving Boxes, is developed that proposes and refines the object boxes under different feature representations…
Fast Vehicle DetectionGPUvehicle detectionDAVE: 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. In this paper, we present a fast framework of Detection and Annotation …
Fast Vehicle Detectionvehicle detection