Hierarchical camera auto-calibration for traffic surveillance systems

作者：

Highlights：

• Camera self-calibration procedure with 5 levels of hierarchy and 12 different cases.

• Completely autonomous system, independent of the position of the camera.

• Focal average error < 5%, pitch average error < 3.2°, roll average error < 0.7°.

• Occlusion management ratio = 91% single frame and 95% multi-frame.

• From a total of 2269 objects, the system has obtained a detection rate of 93.3%.

摘要

•Camera self-calibration procedure with 5 levels of hierarchy and 12 different cases.•Completely autonomous system, independent of the position of the camera.•Focal average error < 5%, pitch average error < 3.2°, roll average error < 0.7°.•Occlusion management ratio = 91% single frame and 95% multi-frame.•From a total of 2269 objects, the system has obtained a detection rate of 93.3%.

论文关键词：Auto-calibration,Pan-tilt-zoom cameras,Vanishing points,Intelligent transportation systems,Urban traffic infrastructures

论文评审过程：Available online 4 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.050