A Study of Moving Object Detection from Unstable Motion Picture
نویسندگان
چکیده
A new method to detect and track an object having a unique movement out of general moving background comprised of a number of moving areas is reported here. After an overall picture movement is detected and normalized from local movements of an image, the moving object becomes detectable by applying a time sequential processing on the difference between frames. Thus, the detection of moving object out of a moving background can be carried out highly efficiently. As an example of applications, a detection of man walking in a panned background is demonstrated in this report.
منابع مشابه
Moving Object Detection from MPEG Coded Picture
A proposed method extracts moving objects from MPEG bit stream directlv. i.e. without video de" , coding process. Along with rapid progress of multimedia technology, motion picture is increasingly handled on computer these days. Accordingly the MPEG format becomes a worldwide standard, and is accepted in many fields, namely broadcasting, communication, networking and archiving. At the same time...
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 کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملKinematics and Dynamics of two Cooperating Robots in Spatial Moving of an Object
The kinematics and dynamics of two industrial cooperating robots are presented in this paper. The NOC (natural orthogonal complement) method is used to derive the dynamical equations for the motion of two cooperating robots. The joint torques of the two robots are determined based on the optimization techniques in order to obtain unique solution for joint torques. To this end, minimizing the cr...
متن کامل