Local object detection and recognition in mobile devices

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Applications which required powerful machines can now be executed in small devices, such as mobile phones or Personal Digital Assistants (PDA). The increasing number of mobile devices with embedded digital cameras introduces new possibilities and challenges, particularly, in the area of computer vision. This paper proposes a method for real-time object recognition using mobile devices that runs locally without the need to communicate with a server. Both object detection and identification algorithms are performed by the mobile device avoiding the communication with the server. These algorithms are based on variance comparisons in near regions and on Support Vector Machines (SVM) and Center- Symmetric Local Binary Patterns (CS-LBP). The paper presents results that show the effectiveness of the method.
Original languageUnknown
Title of host publicationNA
Pages193-196
Publication statusPublished - 1 Jan 2012
Event19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012 -
Duration: 1 Jan 2012 → …

Conference

Conference19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012
Period1/01/12 → …

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