Video-Based Human Behavior Understanding: A Survey

215 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “Several earlier surveys were also published to review methods to recognize human poses, motions, gestures, and activities [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], as well as their applications [49], [50].”
What will Happen Next? Forecasting Player Moves in Sports Videos (2017, background): “(F3, F4) (F5, F6) F[1,2]: (x,y) of player with ball F[3,4]: (x,y) of player F[5,6]: (x,y) of nearest defender”
Vision-based human activity recognition: a survey (2020, background): “Authors in [22, 135] discuss the advantages and the drawbacks of existing approaches for behavior understanding as well as related available datasets.”
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review (2020, background): “speaking, the vulnerable road-users), which is well-studied in computer vision literature [2], [3], [4], [5]. There are also several review papers on pedestrian behaviour prediction such as [6], [7], [8]. Another equally important part of the problem is prediction of the intended behaviour of other ”