In recent years, there has been a notable surge in interest surrounding automated crowd behavior analysis. With the aim of ensuring the peaceful conduct of events and minimizing casualties in locations of public and religious significance, crowd behavior analysis has emerged as an indispensable tool worldwide. To achieve precise outcomes, it's imperative to effectively tackle the nonlinearity inherent in real-world images and videos. Deep learningbased techniques have notably advanced crowd behavior analysis, mirroring progress seen across various realms of computer vision.