Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights

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Abstract

Determining the optimal parameters for a given detection algorithm is not straightforward and what ends up as the final values is mostly based on experience and heuristics. In this paper we investigate the influence of three basic parameters in the widely used Aggregate Channel Features (ACF) object detector applied for traffic light detec- tion. Additionally, we perform an exhaustive search for the optimal pa- rameters for the night time data from the LISA Traffic Light Dataset. The optimized detector reaches an Area-Under-Curve of 66.63 % on cal- culated precision-recall curve.
Original languageEnglish
Title of host publicationAdvances in Visual Computing. ISVC 2016 : Lecture Notes in Computer Science (LNCS)
Volume10073
PublisherSpringer
Publication date10 Dec 2016
Pages92-100
DOIs
Publication statusPublished - 10 Dec 2016
EventISVC16: 12th International Symposium on Visual Computing - Monte Carlo Resort & Casino, Las Vegas, United States
Duration: 12 Dec 201614 Dec 2016
http://www.isvc.net

Conference

ConferenceISVC16: 12th International Symposium on Visual Computing
LocationMonte Carlo Resort & Casino
CountryUnited States
CityLas Vegas
Period12/12/201614/12/2016
Internet address

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learning
traffic
luminaires
detectors
LISA (observatory)
curves
night

Cite this

Jensen, M. B., Philipsen, M. P., Trivedi, M. M., & Moeslund, T. B. (2016). Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights. In Advances in Visual Computing. ISVC 2016: Lecture Notes in Computer Science (LNCS) (Vol. 10073, pp. 92-100). Springer. https://doi.org/10.1007/978-3-319-50832-0_10
Jensen, Morten Bornø ; Philipsen, Mark Philip ; Trivedi, Mohan M. ; Moeslund, Thomas B. / Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights. Advances in Visual Computing. ISVC 2016: Lecture Notes in Computer Science (LNCS). Vol. 10073 Springer, 2016. pp. 92-100
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Jensen, MB, Philipsen, MP, Trivedi, MM & Moeslund, TB 2016, Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights. in Advances in Visual Computing. ISVC 2016: Lecture Notes in Computer Science (LNCS). vol. 10073, Springer, pp. 92-100, ISVC16: 12th International Symposium on Visual Computing, Las Vegas, United States, 12/12/2016. https://doi.org/10.1007/978-3-319-50832-0_10

Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights. / Jensen, Morten Bornø; Philipsen, Mark Philip; Trivedi, Mohan M.; Moeslund, Thomas B.

Advances in Visual Computing. ISVC 2016: Lecture Notes in Computer Science (LNCS). Vol. 10073 Springer, 2016. p. 92-100.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Jensen MB, Philipsen MP, Trivedi MM, Moeslund TB. Comprehensive Parameter Sweep for Learning-based Detector on Traffic Lights. In Advances in Visual Computing. ISVC 2016: Lecture Notes in Computer Science (LNCS). Vol. 10073. Springer. 2016. p. 92-100 https://doi.org/10.1007/978-3-319-50832-0_10