Log In Sign Up

Class agnostic moving target detection by color and location prediction of moving area

by   Zhuang He, et al.

Moving target detection plays an important role in computer vision. However, traditional algorithms such as frame difference and optical flow usually suffer from low accuracy or heavy computation. Recent algorithms such as deep learning-based convolutional neural networks have achieved high accuracy and real-time performance, but they usually need to know the classes of targets in advance, which limits the practical applications. Therefore, we proposed a model free moving target detection algorithm. This algorithm extracts the moving area through the difference of image features. Then, the color and location probability map of the moving area will be calculated through maximum a posteriori probability. And the target probability map can be obtained through the dot multiply between the two maps. Finally, the optimal moving target area can be solved by stochastic gradient descent on the target probability map. Results show that the proposed algorithm achieves the highest accuracy compared with state-of-the-art algorithms, without needing to know the classes of targets. Furthermore, as the existing datasets are not suitable for moving target detection, we proposed a method for producing evaluation dataset. Besides, we also proved the proposed algorithm can be used to assist target tracking.


Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker

Object tracking is a hot topic in computer vision. Thanks to the booming...

An efficient real-time target tracking algorithm using adaptive feature fusion

Visual-based target tracking is easily influenced by multiple factors, s...

Optical Flow Based Online Moving Foreground Analysis

Obtained by moving object detection, the foreground mask result is unsha...

Towards Real-Time Visual Tracking with Graded Color-names Features

MeanShift algorithm has been widely used in tracking tasks because of it...

Real-time AdaBoost cascade face tracker based on likelihood map and optical flow

The authors present a novel face tracking approach where optical flow in...

Detecting Tiny Moving Vehicles in Satellite Videos

In recent years, the satellite videos have been captured by a moving sat...

Unseen Target Stance Detection with Adversarial Domain Generalization

Although stance detection has made great progress in the past few years,...