Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

In the present research era, machine learning is an important and unavoidable zone where
it provides better solutions to various domains. In particular deep learning is one of the cost …

In this work, a face recognition method is proposed for face under pose variations using a
multitask convolutional neural network (CNN). Furthermore, a pose estimation method …

Face recognition finds its major applications in biometrical security, health care and
marketing. Among many biometrics like finger print, iris, voice, hand geometry, signature …

In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the
recognition of face under pose variations. Furthermore, the combination of pose estimation …

In this paper, the implementations and comparison of some classifiers along with 2D
subspace projection approaches have been carried out for the face recognition problem. For …

Increasing inter-class variance and shrinking intra-class distance are two main concerns
and efforts in face recognition. In this paper, we propose a new loss function termed inter …

In this paper, we introduce an innovative surveillance system that leverages the mobility and
flexibility of drones powered by deep learning and computer vision techniques and …

Object classification problem is essential in many applications nowadays. Human can easily
classify objects in unconstrained environments easily. Classical classification techniques …

In this paper, the implementations and comparison of some classifiers along with 2D
subspace projection approaches have been carried out for the face recognition problem. For …