Vision-Based Human Activity Recognition System Using Depth Silhouettes: A Smart Home System for Monitoring the Residents

Kim JS, Yeom DH, Joo YH (2011) Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems. IEEE Trans Consum Electron 57:1165–1170

Jalal A, Kim S (2005) The mechanism of edge detection using the block matching criteria for the motion estimation. In: Proceedings of human computer interaction, pp 484–489

Lee Y, Choi T-J, Ahn C-W (2017) Multi-objective evolutionary approach to select security solutions. CAAI Trans Intell Technol 2(2):64–67

Ming JL-C, Armenakis C (2018) UAV navigation system using line-based sensor pose estimation. Geo-Spat Inf Sci 21(1):2–11

Jalal A, Kim Y, Kamal S, Farooq A, Kim D (2015) Human daily activity recognition with joints plus body features representation using Kinect sensor. In: Proceedings IEEE conference on Informatics, electronics and vision, pp 1–6

Otero RP (2003) Induction of the effects of actions by monotonic methods. In: Proceedings of the international conference on inductive logic programming, pp 299–310

Kamal S, Jalal A, Kim D (2016) “Depth Images-based human detection, tracking and activity recognition using spatiotemporal features and modified HMM. J Electr Eng Technol 11:1921–1926

Liu M, Chen C, Liu H (2017) Learning informative pairwise joints with energy-based temporal pyramid for 3D action recognition. In: Proceedings of the international conference on multimedia and expo, pp 901–906

Bakli MS, Sakr MA, Soliman THA (2018) A spatiotemporal algebra in Hadoop for moving objects. Geo-Spat Inf Sci 21(2):102–114

Jalal A, Kamal S, Kim D (2016) Human depth sensors-based activity recognition using spatiotemporal features and hidden Markov model for smart environments. J Comput Netw Commun 2016:1–11

Zhao W, Yan L, Zhang Y (2018) Geometric-constrained multi-view image matching method based on semi-global optimization. Geo-Spat Inf Sci 21(2):115–126

Weng E-J, Fu L-C (2012) On-line human action recognition by combining joint tracking and key pose recognition. In: Proceedings of the IEEE conference on intelligent robots and systems, pp 4112–4117

Chang Z, Cao J, Zhang Y (2018) A novel image segmentation approach for wood plate surface defect classification through convex optimization. J For Res 29(6):1789–1795

Jalal A, Kamal S, Kim D (2015) Individual detection-tracking-recognition using depth activity images. In: Proceedings of the IEEE conference on ubiquitous robots and ambient intelligence, pp 450–455

Jalal A, Uddin MZ, Kim JT, Kim T (2011) Daily human activity recognition using depth silhouettes and R transformation for smart home. In: Proceedings smart homes health telematics, pp 25–32

Hongye X, Zhuoya H (2015) Gait recognition based on gait energy image and linear discriminant analysis. In: Proceedings of the IEEE conference on signal processing, communications and computing, pp 1–4

Rajput H, Som T, Kar S (2016) Using radon transform to recognize skewed images of vehicular license plates. Computer 49:59–65

Kim Y-N, Park J-H, Kim M-H (2018) Spatio-temporal analysis of trajectory for pedestrian activity recognition. J Electr Eng Technol 13(2):961–968

Jalal A, Kamal S, Kim D (2015) Depth silhouettes context: a new robust feature for human tracking and activity recognition based on embedded HMMs. In: Proceedings 12th IEEE conference on ubiquitous robots and ambient intelligence, pp 294–299

Muller M, Roder T (2006) Motion templates for automatic classification and retrieval of motion capture data. In: Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation, pp 479–485