Video Moving Target Indication in the Analysts’ Detection Support System
نویسندگان
چکیده
This report presents a review of a video moving target indication (VMTI) capability implemented in the Analysts’ Detection Support System (ADSS). The VMTI subsystem has been devised for video from moving sensors, in particular, but not exclusively, airborne urban surveillance video. The paradigm of the moving sensor, which is a typical scenario in defence applications (e.g., UAV surveillance video), poses some unique problems as compared to the stationary sensor. Our solution to these problems draws on a number of algorithms from the computer vision community, and combines them in a novel system. It will provide positional and size information for any moving targets in a given video sequence, on a frame by frame basis. Moreover, given suitable parallel non-specialised hardware, the system allows a near real time solution to VMTI in ADSS. APPROVED FOR PUBLIC RELEASE
منابع مشابه
Research of Moving Target Dection Technology in Intelligent Video Surveillance System
Moving object detection is one of the most challenging tasks in intelligent video surveillance system. It aims to detect targets with a camera instead of human eyes and assist people to complete monitoring and control tasks. Moving target detection, classification, tracking, behavior understanding and description are included in intelligent video surveillance, but moving target detection is the...
متن کاملMoving Target Indication from a moving camera in the presence of strong parallax
We describe an algorithm for independent motion detection from video sequences recorded from a camera moving in a 3D rich environment. Such sequences are typical in the case of Unmanned Aerial Vehicles flying at low altitude over varied terrain and also for ground vehicles. We present detection results for both scenarios.
متن کاملQuadrotor UAV Guidence For Ground Moving Target Tracking
The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...
متن کاملA Moving Target Detection Method Based on Improved Frame Difference Background Modeling
Background modeling is the key technology for moving target detection implemented with the background difference method. The conventional background modeling methods cost large amount of calculation time, in order to improve the speed and precision of the model, this paper presents an improved Frame Difference Background Modeling. The frame difference background modeling was initialized by Sele...
متن کاملAdaptive Spectral Separation Two Layer Coding with Error Concealment for Cell Loss Resilience
This paper addresses the issue of cell loss and its consequent effect on video quality in a packet video system, and examines possible compensative measures. In the system's enconder, adaptive spectral separation is used to develop a two-layer coding scheme comprising a high priority layer to carry essential video data and a low priority layer with data to enhance the video image. A two-step er...
متن کامل