Robust estimation of three-dimensional motion parameters from a sequence of imag
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing the velocity field along contours
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
Derivation of optical flow using a spatiotemporal-frequency approach
Computer Vision, Graphics, and Image Processing
Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
On a Constraint Equation for the Estimation of Displacement Rates in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of component image velocity from local phase information
International Journal of Computer Vision
On the Detection of Motion and the Computation of Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential filtering for multi-frame visual reconstruction
Signal Processing - Special issue on multidimensional signal processing
Performance of optical flow techniques
International Journal of Computer Vision
A robust algorithm for optical flow estimation
Computer Vision and Image Understanding
The computation of optical flow
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Modeling of Uncertainty in Low-Level Vision
Bayesian Modeling of Uncertainty in Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Approach to Motion Pattern Recognition and Its Application to Optical Flow Estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Quantifying motion in video recordings of neonatal seizures by regularized optical flow methods
IEEE Transactions on Image Processing
Analysis of optical flow constraints
IEEE Transactions on Image Processing
An analog motion field detection chip for image segmentation
IEEE Transactions on Circuits and Systems for Video Technology
FPGA-based real-time optical-flow system
IEEE Transactions on Circuits and Systems for Video Technology
Video sequence motion tracking by fuzzification techniques
Applied Soft Computing
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A time efficient technique for real-time tracking of high-speed objects in a video sequence is presented in this article. The technique is primarily based on the segmentation of the optical flow field computed between the successive image frames of a video sequence, followed by the tracking of a detected point of interest (POI) within the segmented flow field. In the initial phase of the technique, the optical flow field between the first two successive image frames acquired from a video sequence, is computed. A fuzzy hostility index indicative of the degree of coherence of the moving objects in the image frames, is used to segment the optical flow field. This yields different coherent regions of interest (ROIs) in the segmented flow field. A POI is then detected in the different ROIs obtained. Tracking of the moving object is then carried out by computing the flow fields between predefined ROIs in the neighborhood of the detected POI in the subsequent image frames. Since the selected ROIs are smaller than the image frames, a fair amount of reduction in the time required for the computation of the optical flow field is achieved, thereby facilitating real-time operation. An application of the proposed technique is demonstrated on three video sequences of high-speed flying fighter aircrafts.