Articles with "pedestrian detection" as a keyword



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G2P: a new descriptor for pedestrian detection

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3815-4

Abstract: Pedestrian detection plays an important role in many applications. Since its birth 13 years ago, Histogram Of Gradient (HOG) descriptor has become a popular descriptor for pedestrian detection. Besides its original instantiation, the HOG also… read more here.

Keywords: descriptor; methodology; new descriptor; hog ... See more keywords
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Pedestrian detection based on multi-convolutional features by feature maps pruning

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4837-0

Abstract: Convolutional neural network (CNN) has developed such a large network size in last few years, so reducing the storage requirement without hurting its accuracy becomes necessary. In this paper, in order to reduce the number… read more here.

Keywords: feature maps; feature; based multi; pedestrian detection ... See more keywords
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Wavelet based iterative deformable part model for pedestrian detection

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6435-1

Abstract: Pedestrian detection is one of the challenging tasks in the urban traffic environments. A natural urban traffic environments include different objects like buildings, vehicles, pedestrians and so on. The conventional approach only used for a… read more here.

Keywords: traffic; detection; part; based iterative ... See more keywords
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Fusion of thermal and visible cameras for the application of pedestrian detection

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Published in 2017 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-016-0989-z

Abstract: In this paper, we propose methods to calibrate visible and thermal cameras and register their images in the application of pedestrian detection. We calibrate the camera using a checkerboard pattern mounted on a heated rig.… read more here.

Keywords: application pedestrian; thermal visible; camera; registration ... See more keywords
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Real-time pedestrian detection with deep supervision in the wild

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Published in 2019 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-018-1406-6

Abstract: Pedestrian detection is a challenging research task, and it is widely applied in automatic driving and intelligent surveillance fields. Although many approaches based on deep learning have shown effectiveness for detecting pedestrian, these approaches are… read more here.

Keywords: real time; deep supervision; pedestrian detection; module ... See more keywords
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Pedestrian Detection with Minimal False Positives per Color-Thermal Image

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Published in 2017 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-017-2424-3

Abstract: This research is based on aggregate channel features utilized for pedestrian detection, and the main focus is to investigate a simple way to reduce the number of false positives per image. The importance of this… read more here.

Keywords: image; positives per; detector; false positives ... See more keywords
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Pedestrian detection based on gradient and texture feature integration

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.09.085

Abstract: In this paper, based on feature integration, we proposed a new method for pedestrian detection. Firstly, we extracted the histogram of oriented gradients (HOG) feature and local binary pattern (LBP) feature from the original images… read more here.

Keywords: detection based; detection; feature integration; pedestrian detection ... See more keywords
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Asymmetric multi-stage CNNs for small-scale pedestrian detection

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.05.019

Abstract: Abstract A critical bottleneck in pedestrian detection is the detection of small-scale pedestrians, which have low contrast and blurry shapes in images and videos. Considered that the body shape of a pedestrian is always rectangular… read more here.

Keywords: detection; asymmetric multi; stage; small scale ... See more keywords
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LLA: Loss-aware Label Assignment for Dense Pedestrian Detection

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.07.094

Abstract: Abstract Label assignment has been widely studied in general object detection because of its great impact on detectors’ performance. In the field of dense pedestrian detection, human bodies are often heavily entangled, making label assignment… read more here.

Keywords: label assignment; loss; assignment; dense pedestrian ... See more keywords
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Pedestrian detection based on a hybrid Gaussian model and support vector machine

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Published in 2020 at "Enterprise Information Systems"

DOI: 10.1080/17517575.2020.1791363

Abstract: In order to improve the detection rate of pedestrian, a novel technique that is based on hybrid Gaussian background modeling combined with HOG and SVM is proposed. The random video frame test sampl... read more here.

Keywords: gaussian model; hybrid gaussian; based hybrid; pedestrian detection ... See more keywords
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Dataset Optimization for Real-Time Pedestrian Detection

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2017.2788058

Abstract: This paper tackles the problem of data selection for training set generation in the context of near real-time pedestrian detection through the introduction of a training methodology: FairTrain. After highlighting the impact of poorly chosen… read more here.

Keywords: real time; data selection; time; time pedestrian ... See more keywords