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Pedestrian Detectio...
Pedestrian Detection using Augmented Training Data
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- Nilsson, Jonas, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Andersson, Patrik, 1987 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Gu, Irene Yu-Hua, 1953 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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visa fler...
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- Fredriksson, Jonas, 1972 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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visa färre...
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(creator_code:org_t)
- ISBN 9781479952083
- 2014
- 2014
- Engelska.
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Ingår i: Proceedings - International Conference on Pattern Recognition. - 1051-4651. - 9781479952083 ; , s. 4548-4553
- Relaterad länk:
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http://dx.doi.org/10...
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visa fler...
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Detecting pedestrians is a challenging and widely explored problem in computer vision. Many approaches rely on large quantities of manually labelled training data to learn apedestrian classifier. To reduce the need for collecting and manually labelling real image training data, this paper investigates the possibility to use augmented images to train a pedestrian classifier. Augmented images are generated by rendering virtual pedestrians onto real image backgrounds. Classifiers learned from real or augmented training data are evaluated on real image test data from the widely used Daimler Mono Pedestrian benchmark data set. Results show that augmented training data generated from a single 200 frame image sequence reach 70% average detection rate at one False Positives Per Image (FPPI), compared to 81% for a classifier trained by a large-scale real data set.Results also show that complementing real training data withaugmented data improves detection performance, compared tousing real training data only.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- argumented data
- SVMs
- Pedestrain detection
- vehicle safety
- detetion
- classification
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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