Effective object proposals: size prediction for pedestrian detection in surveillance videos

Ji Qiu; Lide Wang; Yuhen Hu; Yin Wang

doi:10.1049/el.2020.0850

Effective object proposals: size prediction for pedestrian detection in surveillance videos

Electronics Letters ◽

10.1049/el.2020.0850 ◽

2020 ◽

Vol 56 (14) ◽

pp. 706-709

Author(s):

Ji Qiu ◽

Lide Wang ◽

Yuhen Hu ◽

Yin Wang

Keyword(s):

Pedestrian Detection ◽

Surveillance Videos ◽

Object Proposals

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Fast pedestrian detection based on object proposals and HOG

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727715 ◽

2016 ◽

Cited By ~ 1

Author(s):

Shengke Wang ◽

Lianghua Duan ◽

Cui Zhang ◽

Long Chen ◽

Guoan Cheng ◽

...

Keyword(s):

Pedestrian Detection ◽

Object Proposals

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Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos

Proceedings of the 10th International Conference on Computer Vision Theory and Applications ◽

10.5220/0005308703250334 ◽

2015 ◽

Author(s):

Kristof Van Beeck ◽

Toon Goedemé

Keyword(s):

Real Time ◽

Pedestrian Detection ◽

Surveillance Videos ◽

Detection And Tracking

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Robust real-time pedestrian detection in surveillance videos

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-016-0369-0 ◽

2016 ◽

Vol 8 (1) ◽

pp. 79-85 ◽

Cited By ~ 14

Author(s):

Domonkos Varga ◽

Tamás Szirányi

Keyword(s):

Real Time ◽

Pedestrian Detection ◽

Surveillance Videos

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Auto-Zooming CNN-Based Framework for Real-Time Pedestrian Detection in Outdoor Surveillance Videos

IEEE Access ◽

10.1109/access.2019.2931915 ◽

2019 ◽

Vol 7 ◽

pp. 105816-105826 ◽

Cited By ~ 1

Author(s):

Saghir Alfasly ◽

Beibei Liu ◽

Yongjian Hu ◽

Yufei Wang ◽

Chang-Tsun Li

Keyword(s):

Real Time ◽

Pedestrian Detection ◽

Surveillance Videos

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Part-based deep network for pedestrian detection in surveillance videos

2015 Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip.2015.7457855 ◽

2015 ◽

Cited By ~ 1

Author(s):

Qi Chen ◽

Wenhui Jiang ◽

Yanyun Zhao ◽

Zhicheng Zhao

Keyword(s):

Pedestrian Detection ◽

Surveillance Videos ◽

Deep Network

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Efficient pedestrian detection from aerial vehicles with object proposals and deep convolutional neural networks

10.1117/12.2223270 ◽

2016 ◽

Author(s):

Breton Minnehan ◽

Andreas Savakis

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pedestrian Detection ◽

Deep Convolutional Neural Networks ◽

Aerial Vehicles ◽

Object Proposals

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Pedestrian detection and counting in surveillance videos

10.32469/10355/43038 ◽

2013 ◽

Author(s):

Di Wu

Keyword(s):

Pedestrian Detection ◽

Surveillance Videos ◽

Detection And Counting

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Pedestrian Detection and Tracking in Challenging Surveillance Videos

Communications in Computer and Information Science - Computer Vision, Imaging and Computer Graphics Theory and Applications ◽

10.1007/978-3-319-29971-6_19 ◽

2016 ◽

pp. 356-373

Author(s):

Kristof Van Beeck ◽

Toon Goedemé

Keyword(s):

Pedestrian Detection ◽

Surveillance Videos ◽

Detection And Tracking

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Efficient Proposals: Scale Estimation for Object Proposals in Pedestrian Detection Tasks

IEEE Signal Processing Letters ◽

10.1109/lsp.2020.2995102 ◽

2020 ◽

Vol 27 ◽

pp. 855-859

Author(s):

Ji Qiu ◽

Lide Wang ◽

Yin Wang ◽

Yu Hen Hu

Keyword(s):

Pedestrian Detection ◽

Scale Estimation ◽

Object Proposals

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Pedestrian detection in surveillance videos based on CS-LBP feature

2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) ◽

10.1109/mtits.2015.7223288 ◽

2015 ◽

Cited By ~ 3

Author(s):

Domonkos Varga ◽

Laszlo Havasi ◽

Tamas Sziranyi

Keyword(s):

Pedestrian Detection ◽

Surveillance Videos

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