Small Moving Vehicle Detection in a Satellite Video of an Urban Area

Abstract

Vehicle surveillance of a wide area allows us to learn much about the daily activities and traffic information. With the rapid development of remote sensing, satellite video has become an important data source for vehicle detection, which provides a broader field of surveillance. The achieved work generally focuses on aerial video with moderately-sized objects based on feature extraction. However, the moving vehicles in satellite video imagery range from just a few pixels to dozens of pixels and exhibit low contrast with respect to the background, which makes it hard to get available appearance or shape information. In this paper, we look into the problem of moving vehicle detection in satellite imagery. To the best of our knowledge, it is the first time to deal with moving vehicle detection from satellite videos. Our approach consists of two stages: first, through foreground motion segmentation and trajectory accumulation, the scene motion heat map is dynamically built. Following this, a novel saliency based background model which intensifies moving objects is presented to segment the vehicles in the hot regions. Qualitative and quantitative experiments on sequence from a recent Skybox satellite video dataset demonstrates that our approach achieves a high detection rate and low false alarm simultaneously.

Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos

“…More detailed information on both videos is presented in Table I. 3 Moving vehicles are manually labeled by the Computer Vision Annotation Tool (CVAT), and a boundary box is provided for each moving object on each frame. The detection performance on moving object detection is evaluated on recall, precision and F 1 scores given by recall = T P/(T P + F N ) precision = T P/(T P + F P )…”

Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis

“…In recent years, several researches on target detection and tracking based on optical satellite videos have been carried out. [18][19][20] It should be noted that satellite video plays an important role in ship monitoring because of its strong concealment, wide monitoring range, and real-time continuous monitoring. Although much progress has been achieved in ship detection based on static satellite images, few studies have focused on moving ship detection and tracking based on satellite video, which will become a new research topic in the field of remote sensing.…”

Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos

“…As one of the most promising developments in remote sensing imagery, the satellite videos captured by Skybox and JL-1, have facilitated several emerging research and applications, including super resolution [1,2], video encoding [3,4] and target tracking [5,6]. They expand the earth observation capacity to rapid motion monitoring, such as vehicle and ship tracking [5,7,8]. To reveal these rapid motions, targets of interests need to be located throughout the satellite video first, and the extracted targets in each frame are then associated to construct the trajectories of targets of interest.…”

“…Detecting objects of interest in a video can be achieved by the motion-based detectors, which search the changed pixels in a sequence of images by comparing with an estimated background model [9,10]. Various algorithms, such as Frame-Difference [5,11,12], Median Background [13], Gaussian Mixture Model (GMM) [14,15] and Visual Background Extractor (ViBe) [7,16,17], were developed for moving object detection. However, these approaches are prone to the inadequate background modelling and affected by the problem of parallax caused by the motion of the camera.…”