Results 11 to 20 of about 4,817,825 (346)
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 0001
openaire +2 more sources
Event Detection in Pedestrian Detection and Tracking Applications [PDF]
, 2007 In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to detecting and tracking pedestrians in unconstrained crowded scenes. Upon this framework we propose a pedestrian indexing scheme and suite of tools for detecting events or retrieving data
Kelly, Philip +2 more
openaire +3 more sources
Occlusion-aware pedestrian detection [PDF]
Eleventh International Conference on Machine Vision (ICMV 2018), 2019 Failure in pedestrian detection systems can be extremely crucial, specifically in driverless driving. In this paper, failures in pedestrian detectors are refined by re-evaluating the results of state of the art pedestrian detection systems, via a fully convolutional neural network.
Christos Apostolopoulos +4 more
openaire +2 more sources
Body Parts Features-Based Pedestrian Detection for Active Pedestrian Protection System
Promet (Zagreb), 2016 A novel pedestrian detection system based on vision in urban traffic situations is presented to help the driver perceive the pedestrian ahead of the vehicle.
Lie Guo +4 more
doaj +3 more sources
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision [PDF]
Computer Vision and Pattern Recognition, 2023 Detecting pedestrians accurately in urban scenes is significant for realistic applications like autonomous driving or video surveillance. However, confusing human-like objects often lead to wrong detections, and small scale or heavily occluded ...
Mengyin Liu +3 more
semanticscholar +1 more source
An IF-RCNN Algorithm for Pedestrian Detection in Pedestrian Tunnels [PDF]
IEEE Access, 2020 Para hacer frente a los problemas de mezcla de fondo, desenfoque de peatones y multiescala de peatones en túneles peatonales, propusimos un método mejorado de detección de peatones de red neuronal de convolución basada en regiones más rápidas (IF-RCNN), que utiliza Deep CNN para extraer automáticamente características de imágenes en lugar de ...
Jin Ren 0002, Changliu Niu, Jun Han
openaire +2 more sources
Real and Pseudo Pedestrian Detection Method with CA-YOLOv5s Based on Stereo Image Fusion
Entropy, 2022 With the development of convolutional neural networks, the effect of pedestrian detection has been greatly improved by deep learning models. However, the presence of pseudo pedestrians will lead to accuracy reduction in pedestrian detection. To solve the
Xiaowei Song +5 more
doaj +1 more source
Cross-Modality Proposal-Guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection [PDF]
IEEE transactions on multimedia, 2023 RGB-Thermal (RGB-T) pedestrian detection aims to locate pedestrians in RGB-T image pairs to exploit the complementation between the two modalities for improving detection robustness in extreme conditions.
Chao Tian +4 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
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