BibTex format

author = {Choi, J and Chang, H and Jeong, J and Demiris, Y and Choi, JY},
doi = {10.1109/CVPR.2016.468},
publisher = {IEEE},
title = {Visual tracking using attention-modulated disintegration and integration},
url = {},
year = {2016}

RIS format (EndNote, RefMan)

AB - In this paper, we present a novel attention-modulatedvisual tracking algorithm that decomposes an object intointo multiple cognitive units, and trains multiple elemen-tary trackers in order to modulate the distribution of at-tention according to various feature and kernel types. Inthe integration stage it recombines the units to memorizeand recognize the target object effectively. With respectto the elementary trackers, we present a novel attentionalfeature-based correlation filter (AtCF) that focuses on dis-tinctive attentional features. The effectiveness of the pro-posed algorithm is validated through experimental compar-ison with state-of-the-art methods on widely-used trackingbenchmark datasets.
AU - Choi,J
AU - Chang,H
AU - Jeong,J
AU - Demiris,Y
AU - Choi,JY
DO - 10.1109/CVPR.2016.468
PY - 2016///
SN - 1063-6919
TI - Visual tracking using attention-modulated disintegration and integration
UR -
UR -
UR -
ER -