Results 11 to 20 of about 4,698,050 (307)
Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank [PDF]
Pattern RecognitionPedestrian detection is a crucial field of computer vision research which can be adopted in various real-world applications (e.g., self-driving systems).
Sungjune Park, Hyunjun Kim, Y. Ro
semanticscholar +3 more sources
Variational Pedestrian Detection [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Pedestrian detection in a crowd is a challenging task due to a high number of mutually-occluding human instances, which brings ambiguity and optimization difficulties to the current IoU-based ground truth assignment procedure in classical object detection methods.
Zhang, Yuang +5 more
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MS-DETR: Multispectral Pedestrian Detection Transformer With Loosely Coupled Fusion and Modality-Balanced Optimization [PDF]
IEEE transactions on intelligent transportation systems (Print), 2023 Multispectral pedestrian detection is an important task for many around-the-clock applications, since the visible and thermal modalities can provide complementary information especially under low light conditions.
Yinghui Xing +6 more
semanticscholar +1 more source
Deep learning for occluded and multi‐scale pedestrian detection: A review
IET Image Processing, 2021 Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in many fields, such as automatic driving, video surveillance, robots and so on.
Yanqiu Xiao +6 more
doaj +1 more source
Single-Pedestrian Detection Aided by Multi-pedestrian Detection [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 In this paper, we address the challenging problem of detecting pedestrians who appear in groups and have interaction. A new approach is proposed for single-pedestrian detection aided by multi-pedestrian detection. A mixture model of multi-pedestrian detectors is designed to capture the unique visual cues which are formed by nearby multiple pedestrians ...
Wanli Ouyang, Xiaogang Wang
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Underground video pedestrian detection method
Gong-kuang zidonghua, 2020 For problems of existing pedestrian detection methods based on deep learning such as large computation, detection efficiency relying on hardware performance heavily and so on, the pedestrian detection method based on SSD network was improved.
LI Xianguo +6 more
doaj +1 more source
Pedestrian Detection Algorithm Combining Attention Mechanism and Nonmaximum Suppression Method
Advances in Multimedia, 2022 With the involution of pedestrian detection technology, higher requirements are put forward for the detection accuracy under the conditions of insufficient light, target occlusion, and too small scale. Without information and multiscale pedestrian target,
Duo Pan, Xuemei Zhou
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CityPersons: A Diverse Dataset for Pedestrian Detection [PDF]
Computer Vision and Pattern Recognition, 2017 Convnets have enabled significant progress in pedestrian detection recently, but there are still open questions regarding suitable architectures and training data.
Shanshan Zhang +2 more
semanticscholar +1 more source
Hybrid channel based pedestrian detection [PDF]
Neurocomputing, 2020 Pedestrian detection has achieved great improvements with the help of Convolutional Neural Networks (CNNs). CNN can learn high-level features from input images, but the insufficient spatial resolution of CNN feature channels (feature maps) may cause a loss of information, which is harmful especially to small instances.
Fiseha B. Tesema +5 more
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Inf., 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