FEATURE ENCODING IN BAND-LIMITED DISTRIBUTED SURVEILLANCE SYSTEMS

被引:0
作者
Rahimpour, Alireza [1 ]
Taalimi, Ali [1 ]
Qi, Hairong [1 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
来源
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年
关键词
Feature Encoding; Compact Data Representation; Distributed Recognition Systems; Band-limited Wireless Camera Network;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Distributed surveillance systems have become popular in recent years due to security concerns. However, transmitting high dimensional data in bandwidth-limited distributed systems becomes a major challenge. In this paper, we address this issue by proposing a novel probabilistic algorithm based on the divergence between the probability distributions of the visual features in order to reduce their dimensionality and thus save the network bandwidth in distributed wireless smart camera networks. We demonstrate the effectiveness of the proposed approach through extensive experiments on two surveillance recognition tasks.
引用
收藏
页码:1752 / 1756
页数:5
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