A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection

Salwa Baabou; Abdelrahman G. Abubakr; Francois Bremond; Awatef Ben Fradj; Mohamed Amine Farah; Abdennaceur Kachouri

doi:10.1109/STA.2019.8717226

A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection

Salwa Baabou, Abdelrahman G. Abubakr, Francois Bremond, Awatef Ben Fradj, Mohamed Amine Farah, Abdennaceur Kachouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Original language	English
Title of host publication	19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	485-490
Number of pages	6
ISBN (Electronic)	9781728112923
DOIs	https://doi.org/10.1109/STA.2019.8717226
Publication status	Published (VoR) - 16 May 2019
Event	19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019 - Sousse, Tunisia Duration: 24 Mar 2019 → 26 Mar 2019

Publication series

Name	19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019

Conference

Conference	19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019
Country/Territory	Tunisia
City	Sousse
Period	24/03/19 → 26/03/19

Keywords

Convolutional Neural Network (CNN)
Deep learning
Pedestrian detection

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10.1109/STA.2019.8717226

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Baabou, S., Abubakr, A. G., Bremond, F., Fradj, A. B., Farah, M. A., & Kachouri, A. (2019). A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection. In 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019 (pp. 485-490). Article 8717226 (19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STA.2019.8717226

Baabou, Salwa ; Abubakr, Abdelrahman G. ; Bremond, Francois et al. / A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection. 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 485-490 (19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019).

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title = "A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection",

keywords = "Convolutional Neural Network (CNN), Deep learning, Pedestrian detection",

author = "Salwa Baabou and Abubakr, {Abdelrahman G.} and Francois Bremond and Fradj, {Awatef Ben} and Farah, {Mohamed Amine} and Abdennaceur Kachouri",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019 ; Conference date: 24-03-2019 Through 26-03-2019",

year = "2019",

month = may,

day = "16",

doi = "10.1109/STA.2019.8717226",

language = "English",

series = "19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019",

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Baabou, S, Abubakr, AG, Bremond, F, Fradj, AB, Farah, MA & Kachouri, A 2019, A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection. in 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019., 8717226, 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 485-490, 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019, Sousse, Tunisia, 24/03/19. https://doi.org/10.1109/STA.2019.8717226

A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection. / Baabou, Salwa; Abubakr, Abdelrahman G.; Bremond, Francois et al.
19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 485-490 8717226 (19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Fradj, Awatef Ben

AU - Farah, Mohamed Amine

AU - Kachouri, Abdennaceur

PY - 2019/5/16

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KW - Deep learning

KW - Pedestrian detection

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M3 - Conference contribution

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Y2 - 24 March 2019 through 26 March 2019

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Baabou S, Abubakr AG, Bremond F, Fradj AB, Farah MA, Kachouri A. A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection. In 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 485-490. 8717226. (19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019). doi: 10.1109/STA.2019.8717226

A Comparative Study and State-of-the-art Evaluation for Pedestrian Detection

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Keywords

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