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首页> 外文会议>2010 IEEE International Symposium on Multimedia >Object Recognition Based on Object's Identity for Cooking Recognition Task
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Object Recognition Based on Object's Identity for Cooking Recognition Task

机译：基于对象身份的对象识别用于烹饪识别任务

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摘要

In this paper, we address a novel task "cooking recognition task". Cooking recognition task is to keep recognizing a cooking action of a cook and the target food product of the action at any time of the cooking. The target object of the recognition could change its visual feature completely by peeling, cutting, and mixed with others during the task. Nonetheless, such food product is called by the name that is given at the beginning of the cooking. Because the existing image recognition methods recognizes an object based on such idea that objects of the same name have similar visual feature, such methods cannot solve this cooking recognition task. Therefore, we propose new methods that recognize an object based on such idea that object keeps its identity even after manufactured and/or mixed with others.
机译：在本文中，我们解决了一个新颖的任务“烹饪识别任务”。烹饪识别任务是在烹饪的任何时候不断识别厨师的烹饪动作和该动作的目标食品。识别的目标对象可以在任务期间通过剥离，切割和与其他对象混合来完全改变其视觉特征。尽管如此，这种食物仍以烹饪开始时给出的名称来称呼。因为现有的图像识别方法基于相同名称的对象具有相似的视觉特征的思想来识别对象，所以这种方法不能解决该烹饪识别任务。因此，我们提出了一种新的识别对象的方法，该方法基于这样的思想，即即使在制造对象和/或与其他对象混合之后，对象也可以保持其身份。

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