The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

An increase in the size of data repositories of spatiotemporal data has opened up new
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …

Crowd behavior analysis has become one of the new areas of interest in the computer vision
community due to the increasing demands from surveillance and security industries. It is …

In this paper we present a novel method for crowd behavior identification. In our method, the
motion flow field is obtained from the video by computing the dense optical flow. Then, a …

Crowd activity is an important indicator of commercial streets' attractiveness and
developmental potential. The development of positioning technologies such as GPS and …

RETRACTED: Design of embedded dance teaching control system based on FPGA and
motion recognition processing - ScienceDirect Skip to main contentSkip to article Elsevier …

Dance is a unique and meaningful type of human expression, composed of abundant and
various action elements. However, existing methods based on associated texts and spatial …

Coherent motions depict the individuals' collective movements in widely existing moving
crowds in physical, biological, and other systems. In recent years, similarity-based clustering …

In order to obtain effective crowd relationships for crowd behavior analysis, an adaptive
crowd segmentation method based on coherent motion detection is proposed. This method …

Over the last 75 years, artificial intelligence has evolved from a theoretical concept and
novel paradigm describing the role that computers might play in our society to a tool with …