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Reconciling global and local optimal label assignments for heavily occluded pedestrian detection
Heavily occluded pedestrian detection remains challenging for CNN detectors. Recent methods such as OTA and simOTA utilize optimal transport for...
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Thermal pedestrian detection based on different resolution visual image
Thermal pedestrian detection is a core problem in computer vision. Usually, the corresponding visual image knowledge is used to improve the...
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Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
As autonomous driving technology is develo** rapidly, demands for pedestrian safety, intelligence, and stability are increasing. In this situation,...
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UPDN: Pedestrian Detection Network for Unmanned Aerial Vehicle Perspective
Pedestrian detection for Unmanned Aerial Vehicle (UAV) perspective has significant potential in the fields of computer vision and intelligent...
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Cross-modality complementary information fusion for multispectral pedestrian detection
Multispectral pedestrian detection has received increasing attention in recent years as color and thermal modalities can provide complementary visual...
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InceptionDepth-wiseYOLOv2: improved implementation of YOLO framework for pedestrian detection
Pedestrian detection is one of the most challenging research areas in computer vision, as it involves classifying the image and localizing the...
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High-density pedestrian detection algorithm based on deep information fusion
In order to improve the accuracy of high-density population detection, a high density pedestrian detection algorithm (YOLOv4-HDPD) is proposed based...
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Multi-scale feature balance enhancement network for pedestrian detection
Pedestrian detection uses computer vision technology to detect and locate pedestrians in an image or video sequence. Many traditional and deep...
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HAPNet: a head-aware pedestrian detection network associated with the affinity field
Pedestrian detection has made great progress with the rapid development of deep learning, but pedestrian detection under occlusion remains a...
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Improved Detection of Large-Sized Pedestrians Using Non-linear Scale Space and Combination of HOG and Dense LDB Features
Multi-scale detection in pedestrian detection plays a vital step due to its use in detecting pedestrians in different scales. However, multi-scale...
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Optimization of Loss Function for Pedestrian Detection
The advanced intelligent driving assistance system has improved the current traffic congestion to a great extent and effectively reduced frequent...
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CGTracker: Center Graph Network for One-Stage Multi-Pedestrian-Object Detection and Tracking
Most current online multi-object tracking (MOT) methods include two steps: object detection and data association, where the data association step...
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EfficientLiteDet: a real-time pedestrian and vehicle detection algorithm
Since safety plays a crucial role and the top priority, in both unmanned and driver-assistance driving systems, there is a need of efficient and...
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Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks
As a fundamental computer vision task, crowd counting plays an important role in public safety. Currently, deep learning based head detection is a...
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SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity of irregularities in scale, rotation, and the...
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Research on Pedestrian Detection and Recognition Based on Improved YOLOv6 Algorithm
Pedestrian detection is a technology that uses computer vision to determine whether there are pedestrians passing by in the video sequence or...
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MCANet: Multiscale Cross-Modality Attention Network for Multispectral Pedestrian Detection
Multispectral pedestrian detection is an important and challenging task, that can provide complementary information of visible images and thermal...
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MAFA-net: pedestrian detection network based on multi-scale attention feature aggregation
With pedestrian detection algorithms, balancing the trade-off between accuracy and speed remains challenging. Following the central point-based...
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Prediction of pedestrian crossing behaviour at unsignalized intersections using machine learning algorithms: analysis and comparison
The primary safety hazard at unsignalized intersections, particularly in urban areas, is pedestrian-vehicle collisions. Due to its complexity and...
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Dense Small Object Detection Based on Improved Deep Separable Convolution YOLOv5
Aiming at the limited detection ability of YOLOv5 target detector when dealing with dense small targets, an improved YOLOv5 target detection method...