Applications of Computational Verbs to Image Processing of RoboCup Small-Size Robots

Chen, Wanmi; Yan-qin, Wei; Fei, Minrui; Hu, Huosheng

doi:10.1007/978-3-540-37256-1_59

Cited by 1 publication

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“…There are also many application of computational verb in image processing area. Since the spatial computational verb was proposed in [7] , there are more and more application of spatial computational verb presented, such as 1-D Barcode Localization [8] , card detection [7] , porn detection [9] and Robot Cup [10] . In this paper, a novel model based on bag of computational verbs (BoCV) framework is proposed.…”

Section: Introductionmentioning

confidence: 99%

License plate image classification based on bag of verbs framework

Zhan

Long

et al. 2014

2014 International Conference on Anti-Counterfeiting, Security and Identification (ASID)

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Bag Of computational verbs (BoCV) is a new framework based on computational verb theory. In this framework, verb similarities are summed up or averaged. The value of result is put into a bag as an entry for description in order that many verbs similarities can make up the final feature vector implicitly. A novel model called spatiotemporal verb bag (SVB) is proposed and it is trained in a supervised learning manner for two classes classification problem. While the application of this framework for the same problem is not confined to the proposed model. We compare the classification result of the proposed model with some baseline methods, e.g. histogram of oriented gradient feature with adaptive boosting (HOG-Adaboost) and principal component analysis with support vector machine (PCA-SVM). The proposed algorithm achieves excellent performance in distinguishing Chinese license plates captured from different parts of the day and variety of weather condition.

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Section: Introductionmentioning

confidence: 99%