| Title |
Investigation on moving objects tracking and recognition problems / |
| Translation of Title |
Judančių objektų atpažinimo ir sekimo problemų tyrimas. |
| Authors |
Juneja, Shubham Anoop |
| Full Text |
|
| Pages |
50 |
| Keywords [eng] |
object tracking ; recognition ; computer vision ; artificial interlligence |
| Abstract [eng] |
Object tracking and recognition is a major part of computer vision and artificial intelligence fields. With decades of research time put into it, there have been a wide variety of algorithms and methods proposals so far. With high variance in the approaches to track and recognize objects in videos, there are several applications to each type of approach for different kinds of objects. This master’s thesis analyses selected state-of-the-art methods which are used for detecting motion in videos for tracking objects & keypoints based feature extraction methods, proposes a method for a specific application domain, implements it to perform experiments. Finally, evaluates its performance to demonstrate the challenges in object tracking and recognition for the chosen application domain. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2016 |
