Patent ID: 9740956
Date: 2017-08-22
CPC Classifications: G06K,G06T

Claim:
1. A method for object segmentation in videos tagged with semantic labels, comprising: detecting each frame of a video sequence with an object bounding box detector from a given semantic category and an object contour detector according to a semantic category label to which an object belongs, and obtaining a candidate object bounding box set and a candidate object contour set for each frame of the input video; building a joint assignment model for the candidate object bounding box set and the candidate object contour set, and solving the model to obtain the initial object segment sequence, wherein the initial segmenting sequence is at least one sequence containing the object; processing the initial object segment sequence, to estimate a probability distribution of the object shapes in the input video; and optimizing the initial object segment sequence with a variant of graph cut algorithm that integrates the shape probability distribution of the object, to obtain an optimal segment sequence.