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Javaan Chahl

Researcher at University of South Australia

Publications -  200
Citations -  5118

Javaan Chahl is an academic researcher from University of South Australia. The author has contributed to research in topics: Computer science & Optical flow. The author has an hindex of 31, co-authored 174 publications receiving 3972 citations. Previous affiliations of Javaan Chahl include Control Group & Defence Science and Technology Organization.

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Book ChapterDOI

The sixth visual object tracking VOT2018 challenge results

Matej Kristan, +158 more
TL;DR: The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative; results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Journal ArticleDOI

Catchment areas of panoramic snapshots in outdoor scenes

TL;DR: The results show that view-based homing with panoramic images is in principle feasible in natural environments and does not require the identification of individual landmarks.
Journal ArticleDOI

Reflective surfaces for panoramic imaging.

TL;DR: A family of reflective surfaces is presented that, when imaged by a camera, can capture a global view of the visual environment that is not affected by the distortions and aberrations found in refractive wide-angle imaging devices.
Journal ArticleDOI

How honeybees make grazing landings on flat surfaces

TL;DR: It is shown that, during landing, the bee decelerates continuously and in such a way as to keep the projected time to touchdown constant as the surface is approached, which reflects a surprisingly simple and effective strategy for achieving a smooth landing.
Journal ArticleDOI

Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

TL;DR: A review of the literature on hand gesture techniques and introduces their merits and limitations under different circumstances, and tabulates the performance of these methods, focusing on computer vision techniques that deal with the similarity and difference points.