A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER
Abstract & Details
Research Area
Image Processing
Keywords
object tracking
object detection
occlusion handling
Viola Jones
LPOG
LBP
FW-PCA
Kalman filter
OLPP
Abstract
The ongoing research on object tracking in video sequences has attracted many researchers. For object tracking, Object detection is an important step in any video analysis. Difficulties of the object detection are finding hidden objects and finding unrecognized objects. Although many algorithms have been developed to avoid them as outliers, occlusion boundaries could potentially provide useful information about the scene’s structure and composition.When objects are occluded, some parts may not be visible to human vision. Object detection is a difficult job in real time tracking of multiple objects due to occlusion. This paper presents a survey on detection of occlusion. Similarly occlusion at faces may be leads to performance degradation of face recognition algorithms. Many methods were developed to detect occlusion in present and previous works. The aim of developing such intelligent system is to detect the object and identify them actively under various performance reducing parameters.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Riddhi H. Pancholi | L.J. Institute of Engineering & Technology |
| 2 | Prof. Hinal Somani | L.J. Institute of Engineering & Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Pancholi, Riddhi H. & Somani, Prof. Hinal (2016). A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER. International Journal of Advance Research and Innovative Ideas In Education, 2(6), 663-668.
MLA Style
Pancholi, Riddhi H., and Prof. Hinal Somani. "A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, 2016, pp. 663-668.
IEEE Style
Riddhi H. Pancholi and Prof. Hinal Somani, "A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, pp. 663-668, 2016.
Vancouver Style
Pancholi Riddhi H., Somani Prof. Hinal. A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(6):663-668.
Harvard Style
Pancholi, Riddhi H. & Somani, Prof. Hinal (2016) 'A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER', International Journal of Advance Research and Innovative Ideas In Education, 2(6), pp. 663-668.
Chicago Style
Pancholi, Riddhi H. and Prof. Hinal Somani. "A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 663-668.
Turabian Style
Pancholi, Riddhi H. and Prof. Hinal Somani. "A REVIEW OF REAL TIME OBJECT DETECTION AND TRACKING USING LPOG WITH KALMAN FILTER." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 663-668.
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