论文标题
通过对象检测，序列对齐和聚焦迭代搜索通过Planogram Complience控制
Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search
论文作者
论文摘要
智能零售商店正在成为我们生活的事实。几个基于计算机视觉和传感器的系统正在共同努力，以实现如此复杂且自动化的操作。此外，零售业已经有几个开放且具有挑战性的问题，可以在模式识别和计算机视觉方法的帮助下解决。要解决的一个重要问题是Planogry合规性控制。在这项研究中，我们提出了一种新的方法来解决它。所提出的方法基于对象检测，Planogram合规性控制以及集中且迭代的搜索步骤。对象检测步骤由局部特征提取和隐式形状模型形成形成。 Planogram合规性控制步骤是通过修改的Needleman-Wunsch算法通过序列对准形成的。重点且迭代的搜索步骤旨在提高对象检测和平面图合规性控制步骤的性能。我们在两个不同数据集上测试了所有三个步骤。基于这些测试，我们总结了所提出方法的关键发现以及优势和劣势。
Smart retail stores are becoming the fact of our lives. Several computer vision and sensor based systems are working together to achieve such a complex and automated operation. Besides, the retail sector already has several open and challenging problems which can be solved with the help of pattern recognition and computer vision methods. One important problem to be tackled is the planogram compliance control. In this study, we propose a novel method to solve it. The proposed method is based on object detection, planogram compliance control, and focused and iterative search steps. The object detection step is formed by local feature extraction and implicit shape model formation. The planogram compliance control step is formed by sequence alignment via the modified Needleman-Wunsch algorithm. The focused and iterative search step aims to improve the performance of the object detection and planogram compliance control steps. We tested all three steps on two different datasets. Based on these tests, we summarize the key findings as well as strengths and weaknesses of the proposed method.
