The robot’s ability to detect, identify and interact with surrounding humans is of unequivocal importance in many applications. When interaction with humans is imminent, safety and reliability are critical conditions before robots can be widely deployed in livable societies. For example, in health/elderly care communities, where robots interact with humans with less-than-perfect health conditions, reliable performance cannot be tolerated. Also, safe operation is major barrier before large-scale deployment of smart vehicles.

Human detection, tracking and identification have been focus areas for many computer/robot vision researchers. However, many practical aspects of these problems have yet to be addressed in order to create robots capable of seamlessly interacting in livable societies, mainly because the nature of such applications requires high accuracy at very high processing rates. Computer vision and robotics researchers are invited to submit original contributions in related topics such as, but not limited to: 

• Human detection in bad weather conditions
• Night-time human detection
• Multimodal human detection
• Detecting Humans in non-upright postures
• Exploiting GPUs and FPGAs in human detection systems
• Recogniting dynamic human gestures
• Human tracking from mobile platforms