Search Torrents
|
Browse Torrents
|
48 Hour Uploads
|
TV shows
|
Music
|
Top 100
Audio
Video
Applications
Games
Porn
Other
All
Music
Audio books
Sound clips
FLAC
Other
Movies
Movies DVDR
Music videos
Movie clips
TV shows
Handheld
HD - Movies
HD - TV shows
3D
Other
Windows
Mac
UNIX
Handheld
IOS (iPad/iPhone)
Android
Other OS
PC
Mac
PSx
XBOX360
Wii
Handheld
IOS (iPad/iPhone)
Android
Other
Movies
Movies DVDR
Pictures
Games
HD - Movies
Movie clips
Other
E-books
Comics
Pictures
Covers
Physibles
Other
Details for:
Kumar A. Visual Object Tracking using Deep Learning 2023
kumar visual object tracking using deep learning 2023
Type:
E-books
Files:
1
Size:
20.3 MB
Uploaded On:
Oct. 1, 2023, 10:01 a.m.
Added By:
andryold1
Seeders:
11
Leechers:
0
Info Hash:
C726112C24877EA0AF3CE747344F7711597E6A3E
Get This Torrent
Textbook in PDF format This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. The book also: - Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods. - Elaborates on the salient features of deep learning trackers along with traditional trackers, wherein the handcrafted features are fused to reduce computational complexity. - Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios. - Explores the future research directions for visual tracking by analyzing the real-time applications. The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology
Get This Torrent
Kumar A. Visual Object Tracking using Deep Learning 2023.pdf
20.3 MB
Similar Posts:
Category
Name
Uploaded
E-books
Kumar A. Immersive 3D Design Visualization...2021
Jan. 31, 2023, 10:54 p.m.