With the increasing maturity of video surveillance technologies and popularity of surveillance equipment

video surveillance applications are increasingly widespread. The amounts of surveillance video are showing the explosive growth. In the era of big data

the data of surveillance video has become one of the important data objects. However

due to the unstructured nature of video data

the processing and analysis of multimedia data is relatively difficult. In face of huge video data captured by a large number of surveillance cameras

how to effectively transmit

store

analyze and identify in accordance with the multimedia content and features

has become an urgent need. For the problems of large scale visual perception and intelligent processing in the area of intelligent video surveillance

this report is organized around surveillance video encoding

target detection and tracking

augmented surveillance video together with video motion and identifying abnormal behavior four research directions

and elaborate their development status in 2013 and future development trend outlook. China's latest national standards AVS2 has twice coding efficiency of surveillance video than the latest international standard H.265/HEVC

which marks the video coding technology and standard of our country has already realized the leap in the field of video surveillance. Study on the detection and tracking of video moving object is focused on effective feature extraction and classifier training

and the introduction of machine learning method makes the moving target detection and tracking based on multiple instance learning and sparse representation become a hot spot of research. Surveillance video quality enhancement includes removing of fog

rain

snow

and night

deblurring and super-resolution enhancement

whose existing algorithms are good for a certain class of image clear effect

and on the other class is relatively poor

universality is not high. Intelligent action analysis and abnormal behavior recognition technology existing got continuous development

the performance of the algorithm is also rising

but from a practical point of view

in addition to a specific scene or controllable simple

there is not yet too many mature application system. With the arrival of the era of big data

intelligent video surveillance needs to be increasingly urgent

in the face of many challenges at the same time

this research field will welcome great opportunity hitherto unknown

will have more and more research to practical.