Title :
Investigation of accuracy for drawing of object detection method with sketch
Author :
Kubota, Yoshiki ; Akashi, Takuya ; Fukumi, Minoru ; Kurozumi, Yoshisuke
Author_Institution :
Grad. Sch. of Eng., Iwate Univ., Iwate, Japan
Abstract :
There are many image retrieval systems. In these systems, it is difficult to search an object which can not describe in words. Moreover, tagging with words and prior training are necessary. To solve these problems, a purpose of our study is a intuitive and visual image retrieval system using a sketch. As a basis of the system, object detection method with sketch have been proposed. In this paper, an effect of the difference of various sketches in the proposed method is investigated by an experiment. As a results, it is shown that the proposed method is influenced by a detailed part of the sketch, and too sensitive detection is achieved.
Keywords :
genetic algorithms; image retrieval; object detection; genetic algorithm; object detection method; sketch drawing; visual image retrieval system; words tagging; Accuracy; Gallium; Image edge detection; Image retrieval; Moon; Object detection; Shape; Genetic algorithm; Image retrieval; Object detection;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824