Abstract
This paper proposes an effective hypothesis generation for detection multi-vehicle using a monocular camera fixed on the host vehicle. In hypothesis generation (HG) step, we use linear model between the distance and vehicle size by using recursive least square. It generates effective image patches and improves the detection performance. In addition, it also reduces the computation time compared with sliding-window approach. In hypothesis verification (HV) step, we use the Histogram of Oriented Gradient (HOG) feature and Support Vector Machine (SVM). In our experiment, Caltech and IR datasets are used. The experimental result shows the improvement of running time and detection performance.
| Original language | English |
|---|---|
| Title of host publication | 22nd IEEE International Symposium on Robot and Human Interactive Communication |
| Subtitle of host publication | "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 |
| Pages | 252-257 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 Dec 11 |
| Event | 22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 - Gyeongju, Korea, Republic of Duration: 2013 Aug 26 → 2013 Aug 29 |
Publication series
| Name | Proceedings - IEEE International Workshop on Robot and Human Interactive Communication |
|---|
Other
| Other | 22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 |
|---|---|
| Country | Korea, Republic of |
| City | Gyeongju |
| Period | 13/8/26 → 13/8/29 |
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All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence
- Human-Computer Interaction
Cite this
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On-road vehicle detection based on effective hypothesis generation. / Kim, Jisu; Baek, Jeonghyun; Kim, Dong Yeop; Kim, Euntai.
22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013. 2013. p. 252-257 6628455 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - On-road vehicle detection based on effective hypothesis generation
AU - Kim, Jisu
AU - Baek, Jeonghyun
AU - Kim, Dong Yeop
AU - Kim, Euntai
PY - 2013/12/11
Y1 - 2013/12/11
N2 - This paper proposes an effective hypothesis generation for detection multi-vehicle using a monocular camera fixed on the host vehicle. In hypothesis generation (HG) step, we use linear model between the distance and vehicle size by using recursive least square. It generates effective image patches and improves the detection performance. In addition, it also reduces the computation time compared with sliding-window approach. In hypothesis verification (HV) step, we use the Histogram of Oriented Gradient (HOG) feature and Support Vector Machine (SVM). In our experiment, Caltech and IR datasets are used. The experimental result shows the improvement of running time and detection performance.
AB - This paper proposes an effective hypothesis generation for detection multi-vehicle using a monocular camera fixed on the host vehicle. In hypothesis generation (HG) step, we use linear model between the distance and vehicle size by using recursive least square. It generates effective image patches and improves the detection performance. In addition, it also reduces the computation time compared with sliding-window approach. In hypothesis verification (HV) step, we use the Histogram of Oriented Gradient (HOG) feature and Support Vector Machine (SVM). In our experiment, Caltech and IR datasets are used. The experimental result shows the improvement of running time and detection performance.
UR - http://www.scopus.com/inward/record.url?scp=84889608310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889608310&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2013.6628455
DO - 10.1109/ROMAN.2013.6628455
M3 - Conference contribution
AN - SCOPUS:84889608310
SN - 9781479905072
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 252
EP - 257
BT - 22nd IEEE International Symposium on Robot and Human Interactive Communication
ER -