A Novel Method for Real-time Multiple Moving Targets Detection from Moving Ir Camera (postprint)
نویسندگان
چکیده
This paper presents a novel method for detecting multiple moving targets in real-time from infrared (IR) image sequences collected by an airborne IR camera. This novel method is based on dynamic Gabor filter and dynamic Gaussian detector. First, the ego-motion induced by the airborne platform is modeled by parametric affine transformation based on feature point matching, and the IR video is stabilized by eliminating the background motion. Then, a dynamic Gabor filter is employed to enhance the image changes for accurate detection and localization of moving targets. The orientation of Gabor filter is dynamically changed according to the orientation of optical flows. Next, the specular highlights generated by the dynamic Gabor filter are detected. The outliers and specular highlights are fused to indentify the moving targets. The experimental results show that the proposed detection algorithm is effective and efficient. And the detection speed is approximate 2 frames per second.
منابع مشابه
طراحی و پیادهسازی سامانۀ بیدرنگ آشکارسازی و شناسایی پلاک خودرو در تصاویر ویدئویی
An automatic Number Plate Recognition (ANPR) is a popular topic in the field of image processing and is considered from different aspects, since early 90s. There are many challenges in this field, including; fast moving vehicles, different viewing angles and different distances from camera, complex and unpredictable backgrounds, poor quality images, existence of multiple plates in the scene, va...
متن کاملA PRACTICAL APPROACH TO REAL-TIME DYNAMIC BACKGROUND GENERATION BASED ON A TEMPORAL MEDIAN FILTER
In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...
متن کاملReal-Time Multiple Moving Targets Detection from Airborne IR Imagery by Dynamic Gabor Filter and Dynamic Gaussian Detector
This paper presents a robust approach to detect multiple moving targets from aerial infrared (IR) image sequences. The proposed novel method is based on dynamic Gabor filter and dynamic Gaussian detector. First, the motion induced by the airborne platform is modeled by parametric affine transformation and the IR video is stabilized by eliminating the background motion. A set of feature points a...
متن کاملMotion detection by a moving observer using Kalman filter and neural network in soccer robot
In many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. Duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. In thispaper, we propose a novel method to effectively overcome this problem using Neural Networks and Kalman Filtering theory. Thistechnique u...
متن کاملTarget Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function
In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing...
متن کامل