LOW-COST MULTI-CAMERA OBJECT MATCHING

被引：0

作者：

Tahir, Syed Fahad ^{[1
]}

Cavallaro, Andrea ^{[1
]}

机构：

[1] Queen Mary Univ London, Ctr Intelligent Sensing, London, England

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Smart cameras; object matching; data reduction; cost of features; temporal grouping; DESCRIPTORS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We propose an object matching approach aimed at smartphone cameras that exploits the well-known concept of local sets of features for object representation. We also enable the temporal alignment of cameras by exploiting the frames of detected objects to group objects appeared in the same time interval for the assignment within each camera. The proposed approach does not need training thus making it suitable for matching during short temporal intervals. We use both outdoor and indoor datasets for the evaluation, and show that the proposed method reduces up to 95% the amount of information to be stored and communicated.

引用

页数：5

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