Deep structured energy based models for anomaly detection
Shuangfei Zhai, Yu Cheng, et al.
ICML 2016
Auto-calibration is to estimate camera intrinsic parameters and extrinsic parameters from image observation. In the last decade, auto-calibration has been studied and applied in transportation surveillance. Image features from architectures, roads, vehicles and pedestrians provide the orthogonal constraints for calibration. In transportation surveillance, previous auto-calibration methods are mainly based on single-view geometry, while this paper proposes a method based on multiple-view geometry. The experiment results prove that our method is more robust to image noise than previous methods.
Shuangfei Zhai, Yu Cheng, et al.
ICML 2016
Yuan Luo, Yu Cheng, et al.
JAMIA
Zhengping Che, Yu Cheng, et al.
ICDM 2017
Zhaonan Sun, Soumya Ghosh, et al.
JAMIA Open