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An Automatic Timestamp Replanting Algorithm for Panorama Video Surveillance

  • Xinguo Yu
  • Wu Song
  • Jun Cheng
  • Bo Qiu
  • Bin He
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8333)

Abstract

Timestamp replanting is required when we want to remove timestamps in individual videos and to plant a timestamp into their merged panorama video. This paper presents a preliminary automatic timestamp replanting algorithm for producing panorama surveillance video. Timestamp replanting is a challenge problem because localization, removal, and recognition of timestamp are three difficulty tasks. This paper develops methods to attack the difficulties to finish the tasks. First, it presents a novel localization procedure which first localizes second-digit by using a pixel secondly-periodicity method. And then it localizes timestamp via extracting all digits of timestamp. Second, it adopts a homography-based method to conduct timestamp removal. Third, it presents a digit-sequence recognition method to recognize second-digit and online template matching to recognize the other digits. Experimental results show that the algorithm can accurately localize timestamp in a very low computing cost and that the performances of replanting are visually acceptable.

Keywords

Video Surveillance Timestamp Localization Timestamp Replanting Secondly-Periodicity Second-Digit Localization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Xinguo Yu
    • 1
  • Wu Song
    • 1
  • Jun Cheng
    • 1
  • Bo Qiu
    • 1
  • Bin He
    • 1
  1. 1.National Engineering Research Center for E-LearningCentral China Normal UniversityWuhanChina

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