Recent developments in human motion analysis

By Liang Wang, Weiming Hu, Tien-Ping Tan. 2003

1,102 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

RGB-D-based action recognition datasets: A survey (2016, methodology): “Prior to the release of Microsoft Kinect , research has mainly focused on learning and recognizing actions from conventional twodimensional (2D) video [1, 2, 3, 4].”
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).”
Vision-based hand pose estimation: A review (2007, background): “Some reviews covering human body pose estimation can be found in [30] [31] [32] [33] [34] [35].”
Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units (2014, background): “One such approach is to use sensing systems fixed to the environment, such as vision systems with multiple video cameras [2] [3] [4] [5].”
Comparative study on classifying human activities with miniature inertial and magnetic sensors (2010, methodology): “A performance comparison of the classification techniques is provided in terms of their correct differentiation rates, confusion matrices, and computational cost, as well as their preprocessing, training, and storage requirements.”
A Review of Human Activity Recognition Methods (2015, background): “Similar in spirit to the previous taxonomy,Wang et al. (2003) proposed a hierarchical action categorization hierarchy.”
Human computing and machine understanding of human behavior: a survey (2006, methodology): “employ the premise that human articulated motion shows a periodic property) [65].”
Fusion of static and dynamic body biometrics for gait recognition (2003, positive): “Gait recognition, as a combination of human motion analysis [5] and biometrics, aims essentially to discriminate people by the way they walk.”
Human detection from images and videos: A survey (2016, background): “A review of the literature on human detection problem indicates that the various proposed solutions have been either based on studies of human motion analysis (see for example, [162, 104, 105, 3, 45]) or pedestrian detection in the context of driving assistance systems (see for example, [41, 42, 78,”
Vision-based human motion analysis: An overview (2007, methodology): “[121] Liang Wang, Weiming Hu, Tieniu Tan, Recent developments in”
Silhouette Analysis-Based Gait Recognition for Human Identification (2003, background): “There have been some allied studies such as biomechanics [21], physical medicine studies for therapy [38], psychological studies [37], and approaches aiming to model and track a human through an image sequence, though usually not for recognition [17], [25], [2], [15].”
Fuzzy human motion analysis: A review (2014, background): “Last but not the least, [7, 21, 23, 24, 27, 31, 36] surveyed on the various appl ications of HMA such as the smart surveillance and advanced user interface for human-computer interaction.”
Multimodal Human Computer Interaction: A Survey (2005, background): “Gaze, defined as the direction to which the eyes are pointing in space, is a strong indicator of attention, and it has been studied extensively since as early as 1879 in psychology, and more recently in neuroscience and in computing applications [12].”
Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking (2009, background): “Many researchers have conducted studies on the first step, and general surveys can be found in recent review papers [6,7], in this step, people always use the configuration in the current frame and a dynamic model to predict the next configuration [8,9].”
Gait Analysis Using Wearable Sensors (2012, methodology): “For instance, in some types of sports training, the method is applied to recognize the faults in athlete performances so that they can improve [2–6].”
Motion history image: its variants and applications (2012, background): “Many vision-based human motion analysis systems start with human detection [144].”
View-Invariant Action Recognition from Point Triplets (2009, background): “this purpose, we introduce the idea that the motion of an articulated body can be decomposed into rigid motions of planes defined by triplets of body points.”
A review of hand gesture and sign language recognition techniques (2017, methodology): “HMMs is a stochastic method of analyzing time-varying data with spatio-temporal variability [63].”