Online real-time crowd behavior detection in video sequences
نویسندگان
چکیده
منابع مشابه
Real-Time Smoke Detection in Video Sequences: Combined Approach
This paper presents a combined approach for rapid smoke detection from video sequences using pre-improvement methods. Smoke is characterized by different properties like a color, irregularities in motion, smoothing the edges, etc. There are hard to describe it using basic image features. Usually smoke detection algorithms use some color and turbulence features for the smoke description. But our...
متن کاملTowards Interactive Real-Time Crowd Behavior Simulation
While virtual crowds are becoming common in non-real-time applications, the real-time domain is still relatively unexplored. In this paper we discuss the challenges involved in creating such simulations, especially the need to efficiently manage variety. We introduce the concept of levels of variety. Then we present our work on crowd behaviour simulation aimed at interactive real-time applicati...
متن کاملFire detection using video sequences in urban out-door environment
Nowadays automated early warning systems are essential in human life. One of these systems is fire detection which plays an important role in surveillance and security systems because the fire can spread quickly and cause great damage to an area. Traditional fire detection methods usually are based on smoke and temperature detectors (sensors). These methods cannot work properly in large space a...
متن کاملCrowdAR: Augmenting Live Video with a Real-Time Crowd
Finding and tracking targets and events in a live video feed is important for many commercial applications, from CCTV surveillance used by police and security firms, to the rapid mapping of events from aerial imagery. However, descriptions of targets are typically provided in natural language by the end users, and interpreting these in the context of a live video stream is a complex task. Due t...
متن کاملReal-Time Video Object Segmentation for MPEG Encoded Video Sequences
We propose a real-time object segmentation method for MPEG encoded video. Computational superiority is the main advantage of compressed domain processing. We exploit the macro-block structure of the encoded video to decrease the spatial resolution of the processed data, which exponentially reduces the computational load. Further reduction is achieved by temporal grouping of the intra-coded and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2016
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2015.09.010