Arif Mahmood, Sohaib Khan IEEE Transactions on Image Processing, Vol 19, N0. 8, Aug 2010 Abstract Elimination Algorithms are often used in template matching to provide a significant speed-up by skipping portions of the computation while guaranteeing the same best-match location as exhaustive search. In this work, we develop elimination algorithms for correlation-based match measures…
Tariq Butt, Tabish Mufti, Ahmad Humayun, Peter B. Rosenthal, Sohaib Khan, Shahid Khan, Justin E. Molloy Journal of Biological Chemistry, Vol 285, No 7, Feb 12, 2010 Abstract The bulk alignment of actin filament sliding movement, powered by randomly oriented myosin molecules, has been observed and studied using an in vitro motility assay. The well…
Fahad Daniyal, Murtaza Taj, Andrea Cavallaro Multimedia Tools and Applications, 2009 Abstract We present a content-aware multi-camera selection technique that uses object and frame-level features. First objects are detected using a color-based change detector. Next trajectory information for each object is generated using multi-frame graph matching. Finally, multiple features including size and location are used…
Huiyu Zhou, Murtaza Taj, Andrea Cavallaro IEEE Journal of Selected Topics in Signal Processing, 2008 Abstract We present a multimodal detection and tracking algorithm for sensors composed of a camera mounted between two microphones. Target localization is performed on color-based change detection in the video modality and on Time Difference of Arrival (TDOA) estimation between…
Emilio Maggio, Murtaza Taj, Andrea Cavallaro IEEE Transaction on Circuits System and Video Technology, 2008 Abstract We propose a filtering framework for multi-target tracking that is based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. This framework can be combined with any object detectors that generate positional and dimensional information of…
Stefan Karlsson, Murtaza Taj, Andrea Cavallaro EURASIP Journal on Image and Video Processing, 2008 Abstract We present a video analysis framework that integrates prior knowledge in object tracking to automatically detect humans and faces, and can be used to generate abstract representations of video (key-objects and object trajectories). The analysis framework is based on the fusion…
