TY - GEN
T1 - Vehicle speeding early warning model using frame feature detection and HMM
AU - Lin, Chien Chuan
AU - Wang, Ming-Shi
PY - 2011/9/9
Y1 - 2011/9/9
N2 - The techniques of digital image analysis, features detection, and Hidden Markov Model are employed to develop a vehicle speed prediction system, which used to find the trend of the speed changed. The proposed vehicle speed prediction model is used to set up a vehicle speeding early warning model. The proposed vehicle speed early warning system includes the vehicle speed computation and prediction model. All the data source of this study is obtained by the special design vehicular digital video recorder device that includes well defined driving data format. The data of digital video recorder, which represented the driving state data of the vehicle the speed is included, are analyzed to set up the speed computation and prediction model. The proposed approaches can closely match the vehicle speed and its concurrent video frame. The results of this study can also provide other vehicular computer vision techniques to reduce the processing time along with vehicle's speed.
AB - The techniques of digital image analysis, features detection, and Hidden Markov Model are employed to develop a vehicle speed prediction system, which used to find the trend of the speed changed. The proposed vehicle speed prediction model is used to set up a vehicle speeding early warning model. The proposed vehicle speed early warning system includes the vehicle speed computation and prediction model. All the data source of this study is obtained by the special design vehicular digital video recorder device that includes well defined driving data format. The data of digital video recorder, which represented the driving state data of the vehicle the speed is included, are analyzed to set up the speed computation and prediction model. The proposed approaches can closely match the vehicle speed and its concurrent video frame. The results of this study can also provide other vehicular computer vision techniques to reduce the processing time along with vehicle's speed.
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U2 - 10.1109/ISCE.2011.5973824
DO - 10.1109/ISCE.2011.5973824
M3 - Conference contribution
AN - SCOPUS:80052396260
SN - 9781612848433
T3 - Proceedings of the International Symposium on Consumer Electronics, ISCE
SP - 241
EP - 244
BT - ISCE 2011 - 15th IEEE International Symposium on Consumer Electronics
T2 - 15th IEEE International Symposium on Consumer Electronics, ISCE 2011
Y2 - 14 June 2011 through 17 June 2011
ER -