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2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images

机译:(几乎)无约束静止图像中的二维关节式人体姿势估计和检索

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摘要

We present a technique for estimating the spatial layout of humans in still images—the position of the head, torso and arms. The theme we explore is that once a person is localized using an upper body detector, the search for their body parts can be considerably simplified using weak constraints on position and appearance arising from that detection. Our approach is capable of estimating upper body pose in highly challenging uncontrolled images, without prior knowledge of background, clothing, lighting, or the location and scale of the person in the image. People are only required to be upright and seen from the front or the back (not side).
机译:我们提出了一种技术,用于估计静止图像中人的空间布局-头部,躯干和手臂的位置。我们探索的主题是,使用上身检测器对人进行定位后,使用该检测产生的对位置和外观的微弱约束,可以大大简化对他们身体部位的搜索。我们的方法能够在极富挑战性的不受控制的图像中估计上半身的姿势,而无需事先了解背景,衣服,光线或图像中人物的位置和比例。人们仅需保持直立,并从正面或背面(而不是侧面)看。

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