با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
A new hybrid deep learning model for human action recognition
یک مدل جدید یادگیری عمیق ترکیبی برای شناخت عملکرد انسان-2019 Human behavior has been always an important factor in social communication. The human activity and
action recognition are all clues that facilitate the analysis of human behavior. Human action recognition
is an important challenge in a variety of application including human-computer interaction and intelligent
video surveillance to enhance security in different domains. The evaluation algorithm relies on
the proper extraction and the learning data. The success of the deep learning led to many imposing
results in several contexts that include neural network. Here the emergence of Gated Recurrent Neural
Networks with increased computation powers is being adopted for sequential data and video classification.
However, to have an efficient classifier for assigning the class label, it is very necessary to have a
strong features vector. Features are the most important information in each data. Indeed, features extraction
can influence on the performance of the algorithm and the computation complexity. This paper proposes
a novel approach for human action recognition based on hybrid deep learning model. The proposed
approach is evaluated on the challenging UCF Sports, UCF101 and KTH datasets. An average of 96.3% is
obtained when we have tested on KTH dataset Keywords: Deep learning | Recurrent Neural Networks | Gated Recurrent Unit | Video classification | Motion detection |
مقاله انگلیسی |