Download e-book for kindle: Human Action Recognition with Depth Cameras by Jiang Wang, Zicheng Liu, Ying Wu (auth.)

By Jiang Wang, Zicheng Liu, Ying Wu (auth.)

ISBN-10: 3319045601

ISBN-13: 9783319045603

ISBN-10: 331904561X

ISBN-13: 9783319045610

Action acceptance expertise has many real-world functions in human-computer interplay, surveillance, video retrieval, retirement domestic tracking, and robotics. The commoditization of intensity sensors has additionally spread out additional purposes that weren't possible sooner than. this article makes a speciality of function illustration and laptop studying algorithms for motion acceptance from intensity sensors. After providing a accomplished evaluate of the state-of-the-art, the authors then offer in-depth descriptions in their lately constructed characteristic representations and computing device studying recommendations, together with lower-level intensity and skeleton gains, higher-level representations to version the temporal constitution and human-object interactions, and have choice thoughts for occlusion dealing with. This paintings permits the reader to quick familiarize themselves with the most recent study, and to realize a deeper knowing of lately built innovations. will probably be of serious use for either researchers and practitioners.

Show description

Read or Download Human Action Recognition with Depth Cameras PDF

Similar human-computer interaction books

New PDF release: Vision: Human and Electronic

The content material of this monograph stems from the writer's early involvement with the layout of a chain of tv digicam tubes: the orthicon, the picture orthicon and the vidicon. those tubes and their diversifications, have, at diversified occasions been the "eyes" of the tv method virtually from its inception in 1939.

Julie Ratner's Human Factors and Web Development PDF

As a result ever-changing technological panorama and the worldwide integration of the web in faculties, libraries, houses, and companies, the content material of this moment variation replaced considerably. on account that many laptop clients are attached at either domestic and paintings, the internet has reworked communique; intake styles; and entry to company, politicians, and acquaintances midway world wide.

Extra info for Human Action Recognition with Depth Cameras

Sample text

14] also applies spatio-temporal occupancy patterns, but all the cells in the grid have the same size, and the number of cells is empirically set. Yang and Tian [15] proposes a dimension-reduced skeleton feature, and [16] developed a histogram of gradient feature over depth motion maps. Instead of carefully developing good features, this chapter tries to learn semi-local features automatically from the data, and we show that this learning-based approach achieves good results. 3 Random Occupancy Patterns The proposed method treats a depth sequence as a 4D volume, and defines the value of a pixel in this volume I (x, y, z, t) to be either 1 or 0, depending on whether there is a point in the 4D volume at this location.

In: Proceedings of ICCV (2011) 5. : Robust real-time face detection. Int. J. Comp. Vis. 57(2), 137–154 (2004) 6. : A decision-theoretic generalization of on-line learning and an application to boosting. In: Computational Learning Theory, vol. 55, pp. 23–37. Springer (1995) 7. : Action recognition from arbitrary views using 3D exemplars. In: Proceedings of ICCV, pp. 1–7, Oct 2007 8. : Shape quantization and recognition with randomized trees. Neural Comput. 9(7), 1545–1588 (1997) 9. : Combining randomization and discrimination for fine-grained image categorization.

Human action recognition using star skeleton. In: Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks, pp. 171–178, New York, USA (2006) 14. : Learning recurrent neural networks with hessian-free optimization. In: ICML (2011) 15. : Motion templates for automatic classification and retrieval of motion capture data. In: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, pp. 137–146, Eurographics Association (2006) 16. A. Time series clustering: complex is simpler!

Download PDF sample

Human Action Recognition with Depth Cameras by Jiang Wang, Zicheng Liu, Ying Wu (auth.)

by Ronald

Rated 4.99 of 5 – based on 37 votes