TY - GEN
T1 - Scene-guided region proposal re-ranking method for on-road vehicle candidate generation
AU - Nan, Zhixiong
AU - Feng, Yang
AU - He, Jiawei
AU - Wei, Ping
AU - Xu, Linhai
AU - Sun, Hongbin
AU - Zheng, Nanning
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Vehicle candidate generation is important for vehicle detection. Existing vehicle detection studies usually employ general-purpose region proposal methods to generate vehicle candidates, which do not consider the specificity of on-road vehicles in traffic scenes. In this paper, we propose a model to re-rank the candidates that are generated by general-purpose region proposal methods. Our model considers the specificity of on-road vehicle candidate generation in traffic scenes by encoding global-local semantic context and location-size geometric compatibility. In the experiments, we test our model on three art-of-the-state region proposal methods using two public datasets. The results show the significant performance improvement is gained after applying our model.
AB - Vehicle candidate generation is important for vehicle detection. Existing vehicle detection studies usually employ general-purpose region proposal methods to generate vehicle candidates, which do not consider the specificity of on-road vehicles in traffic scenes. In this paper, we propose a model to re-rank the candidates that are generated by general-purpose region proposal methods. Our model considers the specificity of on-road vehicle candidate generation in traffic scenes by encoding global-local semantic context and location-size geometric compatibility. In the experiments, we test our model on three art-of-the-state region proposal methods using two public datasets. The results show the significant performance improvement is gained after applying our model.
UR - https://www.scopus.com/pages/publications/85072280966
U2 - 10.1109/IVS.2019.8814149
DO - 10.1109/IVS.2019.8814149
M3 - 会议稿件
AN - SCOPUS:85072280966
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 2377
EP - 2382
BT - 2019 IEEE Intelligent Vehicles Symposium, IV 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE Intelligent Vehicles Symposium, IV 2019
Y2 - 9 June 2019 through 12 June 2019
ER -