Recurrent neural network (RNN) and long short-term memory (LSTM) have achieved great
success in processing sequential multimedia data and yielded the state-of-the-art results in …

Emotion recognition from speech signals is an interesting research with several applications
like smart healthcare, autonomous voice response systems, assessing situational …

Object detection is a significant issue in visual surveillance. Faster region-based
convolutional neural network (R-CNN) is a typical object detection algorithm of deep …

Crowd analysis is very important for human behavior analysis, safety science, computational
simulation, and computer vision applications. One of the most popular applications is video …

AI has achieved new heights in image recognition, human action recognition and NLP. It has
a vast area of implementations such as IoT, robotics, biosciences and surveillance. Video …

Person re-identification (ReID) is an imperative area of pedestrian analysis and has practical
applications in visual surveillance. In the person ReID, the robust feature representation is a …

Capturing users' engagement is crucial for gathering feedback about the features of a
software product. In a market-driven context, current approaches to collecting and analyzing …

Video-based abnormal driving behavior detection is becoming more and more popular for
the time being, as it is highly important in ensuring safeties of drivers and passengers in the …

Person re-identification (PRId) is one of the most challenging tasks in automated video
surveillance and has been an area of intense research spanning the past decade. PRId …

This article presents an overview of how person re-identification can be achieved over the
Internet of Biometric Things (IoBT) architecture by enabling technologies and protocols for …