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…
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade 22nd Annual Conference on Neural Information Processing Systems, NIPS, Dec 2008 (Best Student Paper Nomination, ORAL, 2.7% acceptance rate) Abstract Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to…
Arif Mahmood, Sohaib Khan 15th IEEE International Conference on Image Processing, ICIP 2008 Abstract Digital images of natural scenes are usually characterized by strong spatial correlation between adjacent pixels which has been successfully exploited in the coding of still and moving pictures. In this work we show that the strong spatial correlation of natural images…
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…
Arif Mahmood, Sohaib Khan 8th Asian Conference on Computer Vision, ACCV 2007, Tokyo Japan Abstract Strong temporal correlation between adjacent frames of a video signal has been successfully exploited in standard video compression algorithms. In this work, we show that the temporal correlation in a video signal can also be used for fast video to…
Arif Mahmood, Sohaib Khan 14th IEEE International Conference on Image Processing, ICIP 2007 Abstract Block based motion compensation techniques make frequent use of Early Termination Algorithms (ETA) to reduce the com- putational cost of block matching process. ETAs have been well studied in the context of Sum of Absolute Differences (SAD) match measure and are…
Arif Mahmood, Zartash A Uzmi, Sohaib Khan IEEE International Conference on Communications, 2007 Abstract Block based motion compensation techniques are commonly used in video encoding to reduce the temporal redundancy of the signal. In these techniques, each block in a video frame is matched with another block in a previous frame. The match criteria…
