An innovative real-time technique for buried object detection

An innovative real-time technique for buried object detection

In this paper, a new on-line inverse scattering methodology is proposed. The original problem is recast into a regression estimation one and successively solved by means of a support vector machine (SVM). Although the approach can be applied to various inverse scattering applications, it results very suitable to deal with the buried object detection. The application of SVMs to the solution of s...

Real-Time Vehicle-Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection

An Approach for Efficient Real Time Moving Object Detection

Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive nature. In this paper, we tackle the challenge by developing new techniques to substantially expedite moving object detection. We have implemented our approaches using a low-end webcam in a commodity laptop with no specia...

Real-Time Object Detection for "Smart" Vehicles

This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a template hierarchy to capture the variety of object shapes; e cient hierarchies can be generated o ine for given shape distributions using stochastic optimization techniques (i.e. simulated annealing). Online, matching in...

Real-Time Object Detection for Autonomous Robots

A new kind of robots whose characteristics, objectives and operational modes drastically differ from more conventional industrial robots is gaining increased interest. This new type of robots aims to achieve a high level of flexibility, adaptability, and efficiency for acting in environments designed for humans. To meet these demands, the mobile robots need lots of information about their surro...