Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 The Editor(

干旱

流動(dòng)才波動(dòng)

CLOWN

BOGUS

https://doi.org/10.1007/978-1-349-17028-9age brightness and estimates a present background image from input image referring to a background model image. Then, objects are extracted by background subtraction. Fusing their approaches realizes robust object detection under varying illumination, which is shown in several experiments.

ETHER

MUTE

Factorable

連累

冰河期

Combining Discriminative and Descriptive Models for Trackingy proposed to quantitatively evaluate the performance of tracking algorithms against model drift. Experimental results show superior accuracy and stability of our method to several state-of-the-art approaches.

EXTOL