REAL-TIME ROAD SCENE CLASSIFICATION USING INFRARED IMAGES

被引：0
|
作者：
Forslund, David [1 ]
Cronvall, Per [1 ]
Roll, Jacob [1 ]
机构：
[1] Autoliv Elect AB, Linkoping, Sweden
来源：
VISAPP 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2 | 2010年
关键词：
Scene classification; Bag of words; Visual words;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper aims at employing scene classification in real-time to the two-class problem of separating city and rural scenes in images constructed from an infrared sensor that is mounted at the front of a vehicle. The 'Bag of Words' algorithm for image representation has been evaluated and compared to two low-level methods 'Edge Direction Histograms', and 'Invariant Moments'. A method for fast scene classification using the Bag of Words algorithm is proposed using a grey patch based algorithm for image element representation and a modified floating search for visual word selection. It is also shown empirically that floating search for visual word selection outperforms the currently popular k-means clustering for small vocabulary sizes.
引用
收藏
页码：351 / 356
页数：6
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