Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …

Driver decisions and behaviors are essential factors that can affect the driving safety. To
understand the driver behaviors, a driver activities recognition system is designed based on …

Accurate recognition of driver distraction is significant for the design of human-machine
cooperation driving systems. Existing studies mainly focus on classifying varied distracted …

Variational Level Set (LS) has been a widely used method in medical segmentation.
However, it is limited when dealing with multi-instance objects in the real world. In addition …

In the food industry, assessing the quality of poultry carcasses during processing is a crucial
step. This study proposes an effective approach for automating the assessment of carcass …

Drivers' decision and their corresponding behaviors are important aspects that can affect the
driving safety, and it is necessary to understand the driver behaviors in real-time. In this …

In recent years, deep neural networks have achieved state-of-the-art performance in a
variety of recognition and segmentation tasks in medical imaging including brain tumor …

For a Level 3 automated vehicle, according to the SAE International Automation Levels
definition (J3016), the identification of non-driving activities (NDAs) that the driver is …

Using techniques derived from the syntactic methods for visual pattern recognition is not
new and was much explored in the area called syntactical or structural pattern recognition …