The problem of passive localization is commonly solved by independently measuring intermediate parameters (such as angles of arrival (AOA), times of arrival (TOA)...) on several m...
Feature misalignment in object detection refers to
the phenomenon that features which re up in some
positive detection windows do not re up in other pos-
itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
Due to the capacity of pan-tilt-zoom (PTZ) cameras to
simultaneously cover a panoramic area and maintain high
resolution imagery, researches in automated surveillance
systems wi...
Andreas Koschan, Anis Drira, Chung-Chen Chen, Mong...
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...