Results 31 to 40 of about 4,817,825 (346)

Visible part prediction and temporal calibration for pedestrian detection

open access: yesIET Image Processing, 2023
Despite their great advancement, current pedestrian detection methods focus on single static images, which fail to employ richer information available from the video sequences.
Peiyu Yang   +4 more
doaj   +1 more source

Pedestrian Detection and Tracking System Based on Deep-SORT, YOLOv5, and New Data Association Metrics

open access: yesInf., 2023
Pedestrian tracking and detection have become critical aspects of advanced driver assistance systems (ADASs), due to their academic and commercial potential.
Mohammed Razzok   +4 more
semanticscholar   +1 more source

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Deep learning-based methods for video pedestrian detection and tracking require large volumes of training data to achieve good performance. However, data acquisition in crowded public environments raises data privacy concerns – we are not allowed to ...
Matteo Fabbri   +8 more
semanticscholar   +1 more source

Robust pedestrian detection and tracking in crowded scenes [PDF]

open access: yes, 2009
In this paper, a robust computer vision approach to detecting and tracking pedestrians in unconstrained crowded scenes is presented. Pedestrian detection is performed via a 3D clustering process within a region-growing framework.
O'Connor, Noel E.   +2 more
core   +1 more source

Research of Pedestrian Detection Methods with Anchor Frame Based on Deep Learning [PDF]

open access: yesITM Web of Conferences
Pedestrian detection technology has been one of the hotspots for target detection tasks. Deep learning-based theories and techniques perform exceptionally well in the pedestrian detection domain, and several general-purpose target detectors are ...
Yan Tao
doaj   +1 more source

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

open access: yesIEEE Access, 2022
Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance.
Fang Li, Xueyuan Li, Qi Liu, Zirui Li
doaj   +1 more source

Static and Dynamic Pedestrian Detection Algorithm for Visual Based Driver Assistive System

open access: yesITM Web of Conferences, 2017
This paper presents a new pedestrian detection algorithm used in Advanced Driver-Assistance System with only one camera aiming to improving traffic safety.
Bush Idoko John, Dimililer Kamil
doaj   +1 more source

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection [PDF]

open access: yesComputer Vision and Pattern Recognition
RGBT multispectral pedestrian detection has emerged as a promising solution for safety-critical applications that require day/night operations.
Taeheon Kim   +4 more
semanticscholar   +1 more source

Guided Attentive Feature Fusion for Multispectral Pedestrian Detection

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2021
Multispectral image pairs can provide complementary visual information, making pedestrian detection systems more robust and reliable. To benefit from both RGB and thermal IR modalities, we introduce a novel attentive multispectral feature fusion approach.
Heng ZHANG   +4 more
semanticscholar   +1 more source

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective [PDF]

open access: yesNeural Information Processing Systems, 2022
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes.
Zixuan Xu, Banghuai Li, Ye Yuan, A. Dang
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy