Modern Approaches for the Human Activity Detection and Recognition Using Various Image Processing Methods: A Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9748-8_1
Reference25 articles.
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3. Bulbul E, Cetin A, Dogru IA (2018) Human activity recognition using smartphone. In: 2nd international conference on multidisciplinary studies and innovative technologies, Ankara, pp 1–6.
4. Tsai AC, Ou YY, Sun CA, Wang JF (2017) VQ-HMM classifier for human activity recognition based on RGB-D sensor. In: International conference on orange technology, Singapore, pp. 201–204
5. Gatt T, Seychell D, Dingli A (2019) Detecting human abnormal behavior through a video generated model. In: 11th international symposium on image and signal processing and analysis, Dubrovnik, Croatia, pp 264–270
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