Animal Detection in Natural Images: Effects of Color and Image Database

	Animal Detection in Natural Images: Effects of Color and Image Database
	Zhu WN[]1,2,3; Drewes J[]4; Gegenfurtner KR 2
刊名	PLOS ONE
	2013
卷号	8 期号:10 页码:e75816
通讯作者	zhuweina.cn@gmail.com
合作状况	其它
英文摘要	The visual system has a remarkable ability to extract categorical information from complex natural scenes. In order to elucidate the role of low-level image features for the recognition of objects in natural scenes, we recorded saccadic eye movements and event-related potentials (ERPs) in two experiments, in which human subjects had to detect animals in previously unseen natural images. We used a new natural image database (ANID) that is free of some of the potential artifacts that have plagued the widely used COREL images. Color and grayscale images picked from the ANID and COREL databases were used. In all experiments, color images induced a greater N1 EEG component at earlier time points than grayscale images. We suggest that this influence of color in animal detection may be masked by later processes when measuring reation times. The ERP results of go/nogo and forced choice tasks were similar to those reported earlier. The non-animal stimuli induced bigger N1 than animal stimuli both in the COREL and ANID databases. This result indicates ultra-fast processing of animal images is possible irrespective of the particular database. With the ANID images, the difference between color and grayscale images is more pronounced than with the COREL images. The earlier use of the COREL images might have led to an underestimation of the contribution of color. Therefore, we conclude that the ANID image database is better suited for the investigation of the processing of natural scenes than other databases commonly used.
收录类别	SCI
资助信息	This work was supported by the National Natural Science Foundation of China (61005087, 61263042), Science and Technology Project of Yunnan Province, China (2009CD018), Key Science and Technology Project of Department of Education, Yunnan Province, China (2010Z067).
语种	英语
WOS记录号	WOS:000325814200023
公开日期	2013-11-18
内容类型	期刊论文
源URL	[http://159.226.149.42:8088/handle/152453/7706]
专题	昆明动物研究所_认知障碍病理学
作者单位	1.School of Information Science, Yunnan University, Kunming, China 2.Department of Psychology, Giessen University, Giessen, Germany 3.Kunming Institute of Zoology, Chinese Academy of Science, Kunming, China 4.Centre for Vision Research, York University, Toronto, Canada
推荐引用方式 GB/T 7714	Zhu WN[],Drewes J[],Gegenfurtner KR. Animal Detection in Natural Images: Effects of Color and Image Database[J]. PLOS ONE,2013,8(10):e75816.
APA	Zhu WN[],Drewes J[],&Gegenfurtner KR.(2013).Animal Detection in Natural Images: Effects of Color and Image Database.PLOS ONE,8(10),e75816.
MLA	Zhu WN[*],et al."Animal Detection in Natural Images: Effects of Color and Image Database".PLOS ONE 8.10(2013):e75816.