关键词: 目标类别检测, 外观模型, 分类, 定位策略, 图像数据集, 评价标准

Abstract: With the development of mobile devices and social networking services, the data size of digital images has increased rapidly. Object class detection of images has become one of the most focused areas in computer vision in the new century. This paper attempts to make a review on the object class detection. At first, this paper makes a brief introduction about object class detection. Then, this paper provides a comprehensive survey from three aspects of object class detection: core techniques which include the appearance model, classification and location strategies, image datasets and evaluation methods. Finally, this paper lists the state-of-art results, and summarizes the challenge and future trend of object class detection.

Key words: object class detection, appearance model, classification, location strategies, image dataset, evaluation