In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel
intensity values towards representations that explicitly and compactly ca...
— To handle the mismatch problems of spatial-domain motion aligned temporal filtering (MATF) in providing spatial scalability, this paper presents a novel in-scale motion aligne...
Robustness of parameter estimation relies on discriminating inliers from outliers within the set of correspondences. In this paper, we present a method using tensor voting to elim...
To facilitate accurate and efficient detection of motion
patterns in video data, it is desirable to abstract from pixel
intensity values to representations that explicitly and co...