Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion

作者：

Highlights：

• Surveillance system with or without illumination, for 3D change detection.

• A multiview-based acquisition method to monitor wide-sized indoor environments.

• Analysis of the elements detected to identify intruders, new and missed objects.

• Fusion of colour and 3D features to create an accurate 3D model of the scene.

• Real-time surveillance algorithm based on the tilt-angle movement.

摘要

•Surveillance system with or without illumination, for 3D change detection.•A multiview-based acquisition method to monitor wide-sized indoor environments.•Analysis of the elements detected to identify intruders, new and missed objects.•Fusion of colour and 3D features to create an accurate 3D model of the scene.•Real-time surveillance algorithm based on the tilt-angle movement.

论文关键词：Intelligent Surveillance System,Sensor fusion,Computer vision,3D point cloud,Intruder detection

论文评审过程：Available online 3 July 2015, Version of Record 16 July 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.026