Besides, video surveillance systems exhibit specific attributes, namely: accuracy and sensitivity of detection or tracking algorithms, relevance of object classification, frame processing time, among others.
Precision of recall in the nearest neighbour control, our proxy for 'isolated' localization errors (controlling for swap errors and relevance of object identity), is much worse than localization precision for one item, strongly suggesting it is not at ceiling.
In this paper, we simplify the activity modeling process by relying on the relevance weights of objects as the basis of activity discrimination rather than on sequence information.
In order to preserve the material qualities and cultural relevance of architectural objects or urban landscapes, the methods and theoretical frameworks of preservation set historic structures, and even their immediate contexts, as landmarks worthy of protection.
At a time when on-screen married couples still slept in separate beds, his colourful take on the sexual relevance of ordinary objects got attention.Dichter's case history is a fascinating mix of outlandish ideas and now-conventional solutions.
If consumer culture was America's best defence against communism, then motivating materialistic desires was an investment in the country's future.Dichter's colourful take on the sexual relevance of ordinary objects got attentionTo ensure national security, Americans needed to learn how to please themselves in realistic but ephemeral ways.
The concern of Li et al. [12] in analyzing the relevance of video objects at different moments brings out a broader reflection around the dynamicity relative to the changes in the popularity of the video fragments.
It has been suggested that the primary function of the pulvinar in attention is to assign behavioral salience or relevance of visual objects [21], [22], or to function as a priority map by which attentional weights are assigned, which in turn biases a race for selection or representation in visual short term memory [20].
In [6], a novel method is proposed by Saptharishi et al. for temporally and spatially moving objects by automatically learning the relevance of the object's appearance features to the task of discrimination.
A satisfaction function is used to measure the relevance of an object to the conditional criteria.
