Human motion analysis: a review

By Jake K. Aggarwal, Q. Cai. 1997

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Citations in the corpus

RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, background): “1 Introduction In the past decades, there has been abundant computer vision research based on RGB images [3, 18, 90].”
RGB-D-based Human Motion Recognition with Deep Learning: A Survey (2017, background): “Early research on human motion recognition was dominated by the analysis of still images or videos (Aggarwal and Cai, 1999; Guo and Lai, 2014; Poppe, 2010; Turaga et al., 2008; Wang et al., 2003; Zhu et al., 2016a).”
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks (2017, background): “A human body can be represented by a stick figure called human skeleton, which consists of line segments linked by joints, and the motion of joints can provide the key to motion estimation and recognition of the whole figure [1].”
Searching Video for Complex Activities with Finite State Models (2007, background): “Bobick [5] distinguishes between movements, activity and actions, corresponding to longer timescales and increasingcomplexityofrepresentation;somevariantsare described in two useful review papers [ 1 , 15].”
Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance (2014, background): “There are several survey articles, for example, Aggarwal and Cai (1999) and Gavrila (1999), that provide a detailed review of research in this area. Here each observed activity is represented by a sequence of silhouettes in video frames, each silhouette being an element of the shape space of planar ”
Recent developments in human motion analysis (2003, background): “Aggarwal and Cai gave another survey of human motion analysis [122], which covered the work prior to 1997.”
Recognition of Visual Activities and Interactions by Stochastic Parsing (2000, methodology): “Review of such methods as applied to vision can be found in a recent paper by Aggarwal and Cai [ 1 ].”
Recognition of Composite Human Activities through Context-Free Grammar Based Representation (2006, background): “Several researchers have worked on human activity recognition at various levels [1].”
A survey on still image based human action recognition (2014, background): “…r t i c l e i n f o Article history: Received 23 July 2013 Received in revised form 16 March 2014 Accepted 13 April 2014 Available online 9 May 2014 Keywords: Action recognition Still image based Various cues Databases Survey Evaluation a b s t r a c t Recently still image-based human action…”
Model-based 3D tracking of an articulated hand (2001, background): “A survey of early results in the ﬁeld can be found in [1].”
People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters (2003, background): “Several approaches for tracking human motions have been developed over the last years (see [ 1 ] for an overview).”
Continuous body and hand gesture recognition for natural human-computer interaction (2012, background): “This section briefly reviews some of the most relevant work; comprehensive review articles covering the material in detail include [Aggarwal and Cai 1999; Gavrila 1999; Moeslund and Granum 2001; Moeslund et al. 2006; Poppe 2007; Erol et al. 2007; Mitra and Acharya 2007].”
Human action recognition using Dynamic Time Warping (2011, background): “It is motivated by a wide variety of potential application, such as surveillance applications in public spaces to detect abnormal or suspicious activities, medical monitoring (children or elderly persons), athletic performance monitoring, context-aware pervasive system, and another advanced human-co”