tailieunhanh - What, where and who? Classifying events by scene and object recognition

The entire format, name, route and length of your event depends solely on what you want to achieve. You’re in charge of how complex or simple you want to make it. There are masses of different types of walking event, ranging from fun walks and sponsored charity walks, to courses with measured distances and long distance challenges. A promoted walking event can be very attractive to people who are unused to walking or to exploring the countryside, since they know they can’t get lost, they can go at their own pace, they may meet new friends, learn more. | What where and who Classifying events by scene and object recognition Li-Jia Li Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign USA jiali3@ Li Fei-Fei Dept. of Computer Science Princeton University USA feifeili@ Abstract We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking place in a specific environment. In this paper we use a number of sport games such as snow boarding rock climbing or badminton to demonstrate event classification. Our goal is to classify the event in the image as well as to provide a number of semantic labels to the objects and scene environment within the image. For example given a rowing scene our algorithm recognizes the event as rowing by classifying the environment as a lake and recognizing the critical objects in the image as athletes rowing boat water etc. We achieve this integrative and holistic recognition through a generative graphical model. We have assembled a highly challenging database of 8 widely varied sport events. We show that our system is capable of classifying these event classes at accuracy. While each component of the model contributes to the final recognition using scene or objects alone cannot achieve this performance. 1. Introduction and Motivation When presented with a real-world image such as the top image of what do you see For most of us this picture contains a rich amount of semantically meaningful information. One can easily describe the image with the objects it contains such as people women athletes river trees rowing boat etc. the scene environment it depicts such as outdoor lake etc. as well as the activity it implies such as a rowing game . Recently a psychophysics study has shown that in a single glance of an image humans can not only recognize or categorize many of the individual objects in the scene tell apart .

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