Surveillance Video Synopsis While Preserving Object Motion Structure and Interaction

2016 ◽  
pp. 197-207 ◽  
Author(s):  
Tapas Badal ◽  
Neeta Nain ◽  
Mushtaq Ahmed
Keyword(s):  
Object Motion ◽  
Surveillance Video ◽  
Video Synopsis ◽  
Motion Structure

Object-Based Surveillance Video Synopsis Using Genetic Algorithm

2017 ◽  
pp. 193-219
Author(s):  
Shefali Gandhi ◽  
Tushar V. Ratanpara
Keyword(s):  
Genetic Algorithm ◽  
Background Subtraction ◽  
Moving Objects ◽  
Time Lapse ◽  
Original Video ◽  
Surveillance Video ◽  
Time Activity ◽  
Video Synopsis ◽  
Object Based ◽  
Poisson Image Editing

Video synopsis provides representation of the long surveillance video, while preserving the essential activities of the original video. The activity in the original video is covered into a shorter period by simultaneously displaying multiple activities, which originally occurred at different time segments. As activities are to be displayed in different time segments than original video, the process begins with extracting moving objects. Temporal median algorithm is used to model background and foreground objects are detected using background subtraction method. Each moving object is represented as a space-time activity tube in the video. The concept of genetic algorithm is used for optimized temporal shifting of activity tubes. The temporal arrangement of tubes which results in minimum collision and maintains chronological order of events is considered as the best solution. The time-lapse background video is generated next, which is used as background for the synopsis video. Finally, the activity tubes are stitched on the time-lapse background video using Poisson image editing.

HSAJAYA: An Improved Optimization Scheme for Consumer Surveillance Video Synopsis Generation

2020 ◽  
Vol 66 (2) ◽  
pp. 144-152 ◽  
Author(s):  
Subhankar Ghatak ◽  
Suvendu Rup ◽  
Banshidhar Majhi ◽  
M. N. S. Swamy
Keyword(s):  
Surveillance Video ◽  
Optimization Scheme ◽  
Video Synopsis

Surveillance Video Synopsis via Scaling Down Objects

2016 ◽  
Vol 25 (2) ◽  
pp. 740-755 ◽  
Author(s):  
Xuelong Li ◽  
Zhigang Wang ◽  
Xiaoqiang Lu
Keyword(s):  
Surveillance Video ◽  
Video Synopsis ◽  
Scaling Down

Optimization method for trajectory combination in surveillance video synopsis based on genetic algorithm

2015 ◽  
Vol 6 (5) ◽  
pp. 623-633 ◽  
Author(s):  
Ling Xu ◽  
Hailin Liu ◽  
Xinhua Yan ◽  
Shengping Liao ◽  
Xiaohong Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Method ◽  
Surveillance Video ◽  
Video Synopsis

scholarly journals Surveillance Video Synopsis in GIS

2017 ◽  
Vol 6 (11) ◽  
pp. 333 ◽  
Author(s):  
Yujia Xie ◽  
Meizhen Wang ◽  
Xuejun Liu ◽  
Yiguang Wu
Keyword(s):  
Surveillance Video ◽  
Video Synopsis

Preserving interactions among moving objects in surveillance video synopsis

2020 ◽  
Vol 79 (43-44) ◽  
pp. 32331-32360
Author(s):  
Namitha K ◽  
Athi Narayanan
Keyword(s):  
Moving Objects ◽  
Surveillance Video ◽  
Video Synopsis

Online surveillance video synopsis

2012 ◽  
Author(s):  
Chun-Rong Huang ◽  
Hsing-Cheng Chen ◽  
Pau-Choo Chung
Keyword(s):  
Surveillance Video ◽  
Video Synopsis
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