HBA 2018 - Workshop on Human Behavior Analysis based on Video Analytics and Deep Learning

Human behavior recognition (HBR) is a key area in video analysis and machine learning application. Close circuit cameras are now widely used to increase security in many high alert areas such as airport, bus stop and railway station. There are various methods for analyzing human behavior such as sensor based activity recognition, gait analysis based activity recognition. Since video is a low cost and easy to use device for monitoring activities, video based human behavior analysis is widely used. Video analytics have application in patient’s behavior analysis also. Deep learning allows models that are composed of multiple processing layers to learn features of data with multiple levels of abstraction. Now-a-days deep learning techniques such as Convolutional Neural Network, Recurrent Neural Network have become popular for human activity recognition. The workshop aims at bringing computer vision and machine learning experts together for presenting their novel ideas in HBR using video processing and deep learning approach. This will give a platform to researchers from both fields to discuss their original ideas in HBR, solution of existing HBR problems and look for future scope in designing more robust model for human behavior analysis system. Scope and topics of interest include, but are not limited to:
Human behavior analysis
Human activity recognition
Human/ Object tracking and classification
Crowd behavior analysis
Deep learning techniques application in human activity recognition
Video analytics for patient behavior analysis