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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision....
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Fusion-attention network using dense scale-invariant feature transform flow image and point cloud for 3D pedestrian detection
In this paper, we introduce a fusion-attention network for three-dimensional (3D) pedestrian detection using the fusion of dense scale-invariant...
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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Accurate detection of pedestrian lanes is a crucial criterion for vision-impaired people to navigate freely and safely. The current deep learning...
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PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement
Multi-object tracking in dense scenes has always been a major difficulty in this field. Although some existing algorithms achieve excellent results...
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Pedestrian detection based on channel feature fusion and enhanced semantic segmentation
AbstractAt present, pedestrian detection is widely applied to autonomous driving and intelligent transportation and robots, etc. But the balance...
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Crowded pedestrian detection with optimal bounding box relocation
In crowded pedestrian detection, occlusion situations are common challenges that seriously impact detection performance. These occlusions are usually...
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IDPD: improved deformable-DETR for crowd pedestrian detection
Pedestrian detection is an important basis for many pedestrian-related applications and studies, and has received extensive attention in recent...
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HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution
Pedestrian detection is crucial for various applications, including intelligent transportation and video surveillance systems. Although recent...
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Towards more reliable evaluation in pedestrian detection by rethinking “ignore regions”
It remains a challenging task to detect pedestrians in crowds and it needs more efforts to understand why the detectors fail. When we perform an...
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Segmentation-based bounding box generation for omnidirectional pedestrian detection
We propose a segmentation-based bounding box generation method for omnidirectional pedestrian detection that enables detectors to tightly fit...
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Reparameterized dilated architecture: A wider field of view for pedestrian detection
With the continuous advancements in the field of computer vision, the performance of state-of-the-art (SOTA) methods in pedestrian detection has...
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Fully convolutional neural networks for LIDAR–camera fusion for pedestrian detection in autonomous vehicle
Pedestrian detection appears to be an integral part of a vast array of vision-based technologies, ranging from item recognition and monitoring via...
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MAPD: multi-receptive field and attention mechanism for multispectral pedestrian detection
For pedestrian detection in all weather conditions, multispectral imagery is the preferred solution for multimodal data acquisition. Due to the...
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MFMANet: a multispectral pedestrian detection network using multi-resolution RGB feature reuse with multi-scale FIR attentions
In the realm of multispectral pedestrian detection, especially under challenging low-illumination, the existing methods, characterized by...
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Improved YOLOX for pedestrian detection in crowded scenes
In recent years, object detection in computer vision has developed rapidly. However, crowded pedestrian detection in object detection remains a...
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SE-YOLOv4: shuffle expansion YOLOv4 for pedestrian detection based on PixelShuffle
In pedestrian detection, the upsampling operation of YOLOv4 during feature aggregation affects the integrity of feature information for small-scale...
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Improving Pedestrian Attribute Recognition with Dense Feature Pyramid and Mixed Pooling
In the field of computer vision, pedestrian attribute recognition plays a crucial role in pedestrian detection and pedestrian re-identification....
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RCSLFNet: a novel real-time pedestrian detection network based on re-parameterized convolution and channel-spatial location fusion attention for low-resolution infrared image
A novel real-time infrared pedestrian detection algorithm is introduced in this study. The proposed approach leverages re-parameterized convolution...
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Context feature fusion and enhanced non-maximum suppression for pedestrian detection in crowded scenes
Pedestrian detection has a wide range of applications in the field of multimedia, and significant progress has been made. However, in densely...
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MLFFCSP: a new anti-occlusion pedestrian detection network with multi-level feature fusion for small targets
Pedestrian detection relying on deep convolution neural networks has achieved significant progress. However, the performance of current pedestrian...
