On the performance of extended real-time object detection and attribute estimation within urban scene understanding

Khalid Ismail; Toby Breckon

doi:10.1109/ICMLA.2019.00117

On the performance of extended real-time object detection and attribute estimation within urban scene understanding

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

1 Citation (SciVal)

Original language	English
Title of host publication	Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
Editors	M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	641-646
Number of pages	6
ISBN (Electronic)	9781728145495
DOIs	https://doi.org/10.1109/ICMLA.2019.00117
Publication status	Published (VoR) - Dec 2019
Event	18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 - Boca Raton, United States Duration: 16 Dec 2019 → 19 Dec 2019

Publication series

Name	Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019

Conference

Conference	18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
Country/Territory	United States
City	Boca Raton
Period	16/12/19 → 19/12/19

Keywords

Autonomous vehicles
Convolutional neural networks
Human-like Guidance
Object detection
Region-based CNN

Access to Document

10.1109/ICMLA.2019.00117

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Ismail, K., & Breckon, T. (2019). On the performance of extended real-time object detection and attribute estimation within urban scene understanding. In M. A. Wani, T. M. Khoshgoftaar, D. Wang, H. Wang, & N. Seliya (Eds.), Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 (pp. 641-646). Article 8999126 (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA.2019.00117

Ismail, Khalid ; Breckon, Toby. / On the performance of extended real-time object detection and attribute estimation within urban scene understanding. Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. editor / M. Arif Wani ; Taghi M. Khoshgoftaar ; Dingding Wang ; Huanjing Wang ; Naeem Seliya. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 641-646 (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019).

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title = "On the performance of extended real-time object detection and attribute estimation within urban scene understanding",

keywords = "Autonomous vehicles, Convolutional neural networks, Human-like Guidance, Object detection, Region-based CNN",

author = "Khalid Ismail and Toby Breckon",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 ; Conference date: 16-12-2019 Through 19-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICMLA.2019.00117",

language = "English",

series = "Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019",

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

pages = "641--646",

editor = "Wani, {M. Arif} and Khoshgoftaar, {Taghi M.} and Dingding Wang and Huanjing Wang and Naeem Seliya",

booktitle = "Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019",

}

Ismail, K & Breckon, T 2019, On the performance of extended real-time object detection and attribute estimation within urban scene understanding. in MA Wani, TM Khoshgoftaar, D Wang, H Wang & N Seliya (eds), Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019., 8999126, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 641-646, 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, Boca Raton, United States, 16/12/19. https://doi.org/10.1109/ICMLA.2019.00117

On the performance of extended real-time object detection and attribute estimation within urban scene understanding. / Ismail, Khalid; Breckon, Toby.
Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. ed. / M. Arif Wani; Taghi M. Khoshgoftaar; Dingding Wang; Huanjing Wang; Naeem Seliya. Institute of Electrical and Electronics Engineers Inc., 2019. p. 641-646 8999126 (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019).

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

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T1 - On the performance of extended real-time object detection and attribute estimation within urban scene understanding

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AU - Breckon, Toby

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KW - Autonomous vehicles

KW - Convolutional neural networks

KW - Human-like Guidance

KW - Object detection

KW - Region-based CNN

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DO - 10.1109/ICMLA.2019.00117

M3 - Conference contribution

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SP - 641

EP - 646

BT - Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019

A2 - Wani, M. Arif

A2 - Khoshgoftaar, Taghi M.

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Y2 - 16 December 2019 through 19 December 2019

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Ismail K, Breckon T. On the performance of extended real-time object detection and attribute estimation within urban scene understanding. In Wani MA, Khoshgoftaar TM, Wang D, Wang H, Seliya N, editors, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 641-646. 8999126. (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019). doi: 10.1109/ICMLA.2019.00117

On the performance of extended real-time object detection and attribute estimation within urban scene understanding

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