Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …

Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Traffic monitoring is of outmost importance in today's modern world. In the past, stationary
data collectors such as video cameras and induction loops were used for this task. However …

Object detection and recognition have emerged as crucial research areas, driven by the dire
need to address the challenges posed by identifying and recognizing objects in diverse …

In modern times, the identification and categorization of intelligent vehicles have attained
significant recognition within the realm of highway management, as it holds paramount …

Object recognition along with classification are necessary for many applications, such as
surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike …

Aerial imagery is gaining significance across various domains, comprising agriculture,
disaster management, and surveillance. Durin this study, a unique method to tackle the …

Monitoring traffic is of vital relevance in our modern scenario. Over the years, standard ways
of capturing data, such as induction loops and camcorders, were applied for this aim …

Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

In the emerging fields of computer vision, robotics, and medicine, It's difficult to recognize
gestures in dynamic environment. For human-computer hand gesture tracking and …