Static Object Detection in Image Sequences - Pravinkumar Yadav
-20% with code BOOKS
Shipping in 12-18 days
30-day return policy
In last two decades, visual surveillance has attracted more and more researchers because of its tremendous application prospects. One of the most critical challenge today for police and authorities is the timely and accurate detection of suspicious objects, such as unattended luggage, illegally parked vehicles, suspicious persons, and the like in or near airports, train stations, government buildings and in ... Full description
You May Also Like
TOP
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
-20% with code BOOKS
Out of stock
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-20% with code BOOKS
In stock at our supplier
TOP
AI Engineering: Building Applications with Foundation Models
-20% with code BOOKS
In stock at our supplier
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-20% with code BOOKS
In stock at our supplier
TOP
The Art of Game Design: A Book of Lenses
-20% with code BOOKS
In stock at our supplier
TOP
How To Think About AI: A Guide For The Perplexed
-20% with code BOOKS
In stock at our supplier
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-20% with code BOOKS
In stock at our supplier
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-20% with code BOOKS
In stock at our supplier
TOP
HBR Guide to Generative AI for Managers
-20% with code BOOKS
In stock at our supplier
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-20% with code BOOKS
In stock at our supplier
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-20% with code BOOKS
In stock at our supplier
TOP
How Linux Works: What Every Superuser Should Know
-20% with code BOOKS
In stock at our supplier
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-20% with code BOOKS
In stock at our supplier
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-20% with code BOOKS
In stock at our supplier
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-20% with code BOOKS
In stock at our supplier
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-20% with code BOOKS
In stock at our supplier
Description
In last two decades, visual surveillance has attracted more and more researchers because of its tremendous application prospects. One of the most critical challenge today for police and authorities is the timely and accurate detection of suspicious objects, such as unattended luggage, illegally parked vehicles, suspicious persons, and the like in or near airports, train stations, government buildings and in general all crowded public places to avoid unpleasant and destructive events. Present surveillance systems are designed to assist humans. The images that are provided by the cameras need to be constantly monitored by the human in order to identify any activity that is amiss. Therefore there is a need for the development of innovative surveillance system which will be able to automatically detect potentially dangerous situations. Static object is defined as ¿a stationary object that is not present in previous scene but remains in one position for defined time period¿. If the object moves before the predefined period is over it is not considered as a threat. The work proposed here is for developing a robust algorithm to detect a static object in image sequences.
More Information
| Author | Pravinkumar Yadav |
|---|---|
| Publisher | LAP Lambert Academic Publishing |
| Release year | 2016 |
| Cover type | Softcover |
| EAN | 9783659938108 |