Haitao Lang

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Visual tracking in wide area motion imagery (WAMI) is an important problem in security related tasks. The extremely low frame rate and the large camera motion in such videos, however, introduce challenging constraints that distinguish the task from traditional image tracking. In this study we evaluate the performance of several state-of-the-art visual(More)
In this paper, we study a novel problem of classifying covert photos, whose acquisition processes are intentionally concealed from the subjects being photographed. Covert photos are often privacy invasive and, if distributed over Internet, can cause serious consequences. Automatic identification of such photos, therefore, serves as an important initial step(More)
Classifying scenes (such as mountains, forests) is not an easy task owing to their variability, ambiguity, and the wide range of illumination and scale conditions that may apply. Bag of features (BoF) model have achieved impressive performances in many famous databases(such as the 15 scene dataset). A main drawback of the BoF model is it disregards all(More)
In this paper, a Blur Resilient target Tracking algorithm (BReT) is developed by modeling target appearance with a groupwise sparse approximation over a template set. Since blur templates of different directions are added to the template set to accommodate motion blur, there is a natural group structure among the templates. In order to enforce the solution(More)
The advances in image acquisition techniques make recording images never easier and brings a great convenience to our daily life. It raises at the same time the issue of privacy protection in the photographs. One particular problem addressed in this paper is about covert photographs , which are taken secretly and often violate the sub-jects' willingness. We(More)
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