Recent advances in kinship verification have shown that learning an appropriate kinship
similarity metric on human faces plays a critical role in this problem. However, most of …

A face image not only provides details about the identity of a subject but also reveals several
attributes such as gender, race, sexual orientation, and age. Advancements in machine …

Video-based face detection and tracking technology has been widely used in video
surveillance, safe driving, and medical diagnosis. In video sequences, most existing face …

Scale variation because of perspective distortion is still a challenge for crowd analysis. To
address this problem, an atrous convolutions spatial pyramid network (ACSPNet) is …

Nowadays, multiple face detection (MFD) and extraction play an important role in face
identification for various applications. In the proposed algorithm, Support Vector Machine …

Infrared moving target tracking plays a fundamental role in many burgeoning research areas
of Smart City. Challenges in developing a suitable tracker for infrared images are particularly …

The exponential growth of video‐sharing platforms, exemplified by platforms like YouTube
and Netflix, has made videos available to everyone with minimal restrictions. This …

Dictionary learning for sparse representations is generally conducted in two alternating
steps-sparse coding and dictionary updating. In this paper, a new approach to solve the …

Feature extracting and training module can be done by using face recognition neural
learning techniques. Moreover, these techniques are widely employed to extract features …

Correlation filter (CF) based trackers have shown promising performance in object tracking.
However, both the accuracy and efficiency of existing CF based trackers are limited. In this …