Modeling research for interested character recognition and scene tracking in video image

Author

Senhua Wang ; Xiangzhong Li ; Weijia Wang ; Zhenxun Bai

Author_Institution

Logistical Inf. & Mil. logistics Eng. Dept., Logistical Eng. Univ., Chong Qing, China

fYear

2013

fDate

17-19 Dec. 2013

Firstpage

135

Lastpage

138

Abstract

There are some problems in the video identity recognition, such as low efficiency of data processing and instability of the identification performance. This paper designs specific links and the corresponding processes for the interested character recognition and scene tracking, which are including the construction of adaptive segmentation, video face flexible recognition, feature library model, optimizing search strategies based on genetic algorithm, scene path adaptive generation, all these are in order to provide reference for automatic interested character recognition and scene tracking.

Keywords

face recognition; genetic algorithms; image segmentation; object tracking; search problems; video signal processing; adaptive segmentation; automatic interested character recognition; data processing; feature library model; genetic algorithm; identification performance; optimizing search strategies; scene path adaptive generation; scene tracking; video face flexible recognition; video identity recognition; video image; Algorithm design and analysis; Character recognition; Data mining; Face; Face recognition; Feature extraction; Hidden Markov models; Biometrics; Feature Recognition; Interested Character; Scene Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013 10th International Computer Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-2445-5

Type

conf

DOI

10.1109/ICCWAMTIP.2013.6716616

Filename

6716616