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Superpixel based ro...
Superpixel based road user tracker
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- Ardö, Håkan (författare)
- Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Nilsson, Mikael (författare)
- Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Laureshyn, Aliaksei (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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(creator_code:org_t)
- 2014
- 2014
- Engelska.
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- Abstract A superpixel based tracker is tested on the two Tracking sequences from PDTV [7], Minsk and Sherbrooke. It detects all vehicles from the Minsk dataset although a few of them are splitted. The pedestrians are too small and thus all missed. The results for the Sherbrooke are not as good, especially in the areas far way from the camera where the intersection s viewed at a low angle. Also the sign in the foreground causes misses.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Publikations- och innehållstyp
- kon (ämneskategori)
- vet (ämneskategori)