发明名称 |
Object identification system and method |
摘要 |
An object identification method is provided. The method includes dividing an input video into a number of video shots, each containing one or more video frames. The method also includes detecting target-class object occurrences and related-class object occurrences in each video shot. Further, the method includes generating hint information including a small subset of frames representing the input video and performing object tracking and recognition based on the hint information. The method also includes fusing tracking and recognition results and outputting labeled objects based on the combined tracking and recognition results. |
申请公布号 |
US9122931(B2) |
申请公布日期 |
2015.09.01 |
申请号 |
US201314063511 |
申请日期 |
2013.10.25 |
申请人 |
TCL RESEARCH AMERICA INC. |
发明人 |
Peng Liang;Wang Haohong |
分类号 |
G06K9/00;G06T11/60 |
主分类号 |
G06K9/00 |
代理机构 |
Anova Law Group, PLLC |
代理人 |
Anova Law Group, PLLC |
主权项 |
1. An object identification method, comprising:
dividing an input video into a number of video shots, each containing one or more video frames; detecting target-class object occurrences and related-class object occurrences in each video shot; generating hint information including a small subset of frames representing the input video; performing object tracking and recognition based on the hint information; combining tracking and recognition results; and outputting labeled objects based on the combined tracking and recognition results; wherein generating hint information including a small subset of frames representing the input video further includes:
applying a video summarization approach;applying k-means clustering algorithms using identify-sensitive features on all detected objects; andperforming initial object identification using a knowledge database;wherein the hint information possesses a desired identity coverage, a desired local representation, a desired pose variation coverage and a desired illumination variation coverage. |
地址 |
Santa Clara CA US |