Results 301 to 310 of about 4,817,825 (346)

M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian Detection

IEEE transactions on multimedia
RGB-Thermal pedestrian detection has shown many notable advantages in various lighting and weather conditions by combining the information from RGB-T images.
Xiangyang Li, Shiguo Chen, Chunna Tian, Heng Zhou, Zhenxi Zhang   +4 more
semanticscholar   +1 more source

Contextual boost for pedestrian detection

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In this paper we present that, besides the local features, context cues in the neighborhood provide important constraints that are not yet well utilized. We propose a framework
Yuanyuan Ding, Jing Xiao 0006
openaire   +1 more source

Pedestrian detection with an improved Adaboost

2013 IEEE INISTA, 2013
This paper focuses on improving the performance of Adaboost (Adaptive Boosting) by using weak classifiers that make classification with a confidence score. Single thresholds and nearest neighbor classifiers are used as base classifiers. The proposed method is applied to the problem of pedestrian detection in still images.
Bölat, Bülent, Tetik, Yusuf Engin
openaire   +3 more sources

Deep Learning-Based Pedestrian Detection Using RGB Images and Sparse LiDAR Point Clouds

IEEE Transactions on Industrial Informatics
One of the fundamental tasks in autonomous driving is environment perception for pedestrian detection, where the fused pedestrian detection using camera and light detection and ranging (LiDAR) information imposes challenges since the data alignment ...
Haoran Xu, Shuo Huang, Yixin Yang, Xiaodao Chen, Shiyan Hu   +4 more
semanticscholar   +1 more source

Stacked Homography Transformations for Multi-View Pedestrian Detection

IEEE International Conference on Computer Vision, 2021
Multi-view pedestrian detection aims to predict a bird’s eye view (BEV) occupancy map from multiple camera views. This task is confronted with two challenges: how to establish the 3D correspondences from views to the BEV map and how to assemble occupancy
Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan   +5 more
semanticscholar   +1 more source

Shearlet Features for Pedestrian Detection

Journal of Mathematical Imaging and Vision, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

YOLOv10-Based Real-Time Pedestrian Detection for Autonomous Vehicles

International Conference on Signal and Image Processing Applications
Accurate pedestrian detection is increasingly important for safety as autonomous driving technology advances. This paper presents a real-time pedestrian detection method based on YOLOvlO.
Yan Li, Waiyie Leong, Hongli Zhang
semanticscholar   +1 more source

Histograms of Salience for Pedestrian Detection

Proceedings of International Conference on Internet Multimedia Computing and Service, 2014
Pedestrian detection has been seen huge progress in recent years, much thanks to the Histograms of Oriented Gradients (HOG) features. However, this method (HOG and SVM) has a large number of false detections. To conquer the problem, we provide an affirmative answer by proposing and investigating a salience representation for pedestrian detection ...
Yuanyuan Nan, Chao Liang 0001, Wenhua Fang, Xiao Wang 0029, Yuhong Yang 0001, Jun Chen 0001   +5 more
openaire   +1 more source

Pedestrian Detection with Stereo Vision

21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
This paper presents a method of pedestrian detection for automobile applications, based on stereo vision. Vision based pedestrian detection presents a difficulty due to the diversity of appearances. The proposed method overcomes the difficulty mainly through the following two contributions.
Mineki Soga, Takeo Kato, Mitsuhiko Ohta, Yoshiki Ninomiya   +3 more
openaire   +1 more source

The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, and Short/Long-Term Re-Identification From Aerial Devices

IEEE Transactions on Information Forensics and Security, 2021
Over the years, unmanned aerial vehicles (UAVs) have been regarded as a potential solution to surveil public spaces, providing a cheap way for data collection, while covering large and difficult-to-reach areas.
S. V. A. Kumar, Ehsan Yaghoubi, Abhijit Das, B. Harish, Hugo Proença   +4 more
semanticscholar   +1 more source