Category

Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

 
₹ 5,066

Availability: Out of stock

 

Delivery :

5% Cashback on all Orders paid using MobiKwik Wallet T&C

Free Krispy Kreme Voucher on all Orders paid using UltraCash Wallet T&C
Product Out of Stock Subscription

(Notify me when this product is back in stock)

  • Product Description
 

Object tracking is an ongoing research area in computer vision. Applications of visual tracking algorithms are countless and growing. Object tracking is required and has been attempted in many domains, including surveillance, sports analysis, gesture recognition, medical applications such as microscopic sample analysis, to study traffic and pedestrian flow dynamics for efficient designs of roads and pathways, growth patterns in plants and animal cells, tracking and targeting applications and studying group behaviour in moving animals and humans This book discusses visual tracking algorithms and their application in the real world. One of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This book addresses the particle spread management problem. Extensive literature review along with three novel hybrid tracking algorithms are presented.

Product Specifications
SKU :COC58085
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
0 Review(s)