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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 +4 more
semanticscholar +1 more source
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 +4 more
semanticscholar +1 more source
Stacked Homography Transformations for Multi-View Pedestrian Detection
IEEE International Conference on Computer Vision, 2021Multi-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 +5 more
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Pedestrian Detection Using Stationary Wavelet Dilated Residual Super-Resolution
IEEE Transactions on Instrumentation and Measurement, 2022Pedestrian detection has become an important subject in applications such as automobile autopilot assistance and pedestrian tracking in surveillance systems.
Wei-Yen Hsu, Peijia Chen
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High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection
Computer Vision and Pattern Recognition, 2019Object detection generally requires sliding-window classifiers in tradition or anchor-based predictions in modern deep learning approaches. However, either of these approaches requires tedious configurations in windows or anchors.
W. Liu +4 more
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Occlusion-Aware Pedestrian Detection and Tracking
2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP), 2023This paper proposes an occlusion-aware mechanism, used on a framework for detecting and tracking pedestrians in videos acquired from surveillance cameras, which includes the extraction of trajectory points, estimation of walking velocities, detection of groups, and projection of the final trajectories into a 2D plan.
Correia, S. +5 more
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Shearlet Features for Pedestrian Detection
Journal of Mathematical Imaging and Vision, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optics and Precision Engineering, 2013
This paper proposed a method to concatenate a cell-structured Local Binary Pattern(LBP) feature into Histogram of Gradients(HOG) to solve the problem that HOG was vulnerable to the interference of vertical background gradient information in pedestrian detection.Firstly,the detection window was divided into 16×16 non-overlapping blocks,then the LBP ...
黄炎 HUANG Yan +4 more
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This paper proposed a method to concatenate a cell-structured Local Binary Pattern(LBP) feature into Histogram of Gradients(HOG) to solve the problem that HOG was vulnerable to the interference of vertical background gradient information in pedestrian detection.Firstly,the detection window was divided into 16×16 non-overlapping blocks,then the LBP ...
黄炎 HUANG Yan +4 more
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Multi-spectral pedestrian detection
Signal Processing, 2015Pedestrian detection is a crucial problem in human pose recovery and behavior analysis, especially in applications such as visual surveillance, robotics, and drive-assistance systems. Recently, most pedestrian detection approaches of machine learning and signal processing have achieved advanced performance in traditional natural images.
Yuan, Yuan, Lu, Xiaoqiang, Chen, Xiao
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Pedestrian Detection - A Survey
2020Pedestrian detection is one of the important fields of computer vision. Computer vision is getting more information from the digital images and videos and distinguishes between objects and classifies the object. Pedestrian detection is being applied in a wide range of applications such as video surveillance, automated driving, etc.
C. Victoria Priscilla +1 more
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