Sensors, Vol. 24, Pages 2859: Moving Object Detection in Freely Moving Camera via Global Motion Compensation and Local Spatial Information Fusion

Sensors, Vol. 24, Pages 2859: Moving Object Detection in Freely Moving Camera via Global Motion Compensation and Local Spatial Information Fusion Sensors doi: 10.3390/s24092859 Authors: Zhongyu Chen Rong Zhao Xindong Guo Jianbin Xie Xie Han Motion object detection (MOD) with freely moving cameras is a challenging task in computer vision. To extract moving objects, most studies have focused on the difference in motion features between foreground and background, which works well for dynamic scenes with relatively regular movements and variations. However, abrupt illumination changes and occlusions often occur in real-world scenes, and the camera may also pan, tilt, rotate, and jitter, etc., resulting in local irregular variations and global discontinuities in motion features. Such complex and changing scenes bring great difficulty in detecting moving objects. To solve this problem, this paper proposes a new MOD method that effectively leverages local and global visual information for foreground/background segmentation. Specifically, on the global side, to support a wider range of camera motion, the relative inter-frame transformations are optimized to absolute transformations referenced to intermediate frames in a global form after enriching the inter-frame matching pairs. The global transformation is fine-tuned using the spatial transformer network (STN). On the local side, to address the problem of dynamic background scenes, foreground object detection is opti...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research