Human-level moving object recognition from traffic video

Human-level moving object recognition from traffic video

Video preserves valuable raw information. Understanding these data and then recognizing objects and tagging them are crucial to intelligent planning and decision making. Deep learning provides us an effective way to understand big data with a human-level. As traffic video is characterized by crowded scene and low definition, it will be non-effective to deal with the whole image once. An alterna...

Moving Object Tracking in Video

The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. However, video needs more space for storage and wider bandwidth for transmission. Hence is raised the topic ...

Generic object recognition from video data

We present a new approach for generic 3D object recognition from video data. We first use tracking to extract temporal dependencies of object regions in videos and use this additional information to reduce the training data. As a result, training time decreases dramatically, while classification performance can be maintained, or even improves in certain cases. This work constitutes a first step...

Probabilistic Human Recognition From Video

Moving Object Counting in Video Signals

Abstract— Object detection and tracking is important in the field of video processing. The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. The input video clip is analyzed in three key steps: Frame extraction, Background estimation and Detection of foreground objects. The use of object tracking and counting; basically cars; is p...