ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE
This paper presents the analysis of real-time object detection method for embedded system, especially the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. However due to the d...
| Main Author: | |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/4100/ http://eprints.utem.edu.my/id/eprint/4100/1/ICEI.pdf |
| _version_ | 1848886992277864448 |
|---|---|
| author | Saipullah, Khairul Muzzammil |
| author_facet | Saipullah, Khairul Muzzammil |
| author_sort | Saipullah, Khairul Muzzammil |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper presents the analysis of real-time
object detection method for embedded system, especially the
Android smartphone. As we all know, object detection
algorithm is a complicated algorithm that consumes high
performance hardware to execute the algorithm in real
time. However due to the development of embedded
hardware and object detection algorithm, current
embedded device may be able to execute the object detection
algorithm in real-time. In this study, we analyze the best
object detection algorithm with respect to efficiency, quality
and robustness of the object detection. A lot of object
detection algorithms have been compared such as Scale
Invariant Feature Transform (SIFT), Speeded-Up Feature
Transform (SuRF), Center Surrounded Extrema
(CenSurE), Good Features To Track (GFTT), Maximally-
Stable Extremal Region Extractor (MSER), Oriented
Binary Robust Independent Elementary Features (ORB),
and Features from Accelerated Segment Test (FAST) on the
GalaxyS Android smartphone. The results show that FAST
algorithm has the best combination of speed and object
detection performance. |
| first_indexed | 2025-11-15T19:47:18Z |
| format | Conference or Workshop Item |
| id | utem-4100 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:47:18Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-41002015-05-28T02:39:52Z http://eprints.utem.edu.my/id/eprint/4100/ ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE Saipullah, Khairul Muzzammil TA Engineering (General). Civil engineering (General) This paper presents the analysis of real-time object detection method for embedded system, especially the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the object detection. A lot of object detection algorithms have been compared such as Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform (SuRF), Center Surrounded Extrema (CenSurE), Good Features To Track (GFTT), Maximally- Stable Extremal Region Extractor (MSER), Oriented Binary Robust Independent Elementary Features (ORB), and Features from Accelerated Segment Test (FAST) on the GalaxyS Android smartphone. The results show that FAST algorithm has the best combination of speed and object detection performance. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/4100/1/ICEI.pdf Saipullah, Khairul Muzzammil (2012) ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE. In: 3rd International Conference on Engineering and ICT (ICEI2012) , 4 – 5 April 2012, Melaka, Malaysia . (In Press) |
| spellingShingle | TA Engineering (General). Civil engineering (General) Saipullah, Khairul Muzzammil ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE |
| title | ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR
ANDROID SMARTPHONE |
| title_full | ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR
ANDROID SMARTPHONE |
| title_fullStr | ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR
ANDROID SMARTPHONE |
| title_full_unstemmed | ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR
ANDROID SMARTPHONE |
| title_short | ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR
ANDROID SMARTPHONE |
| title_sort | analysis of real-time object detection methods for
android smartphone |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/4100/ http://eprints.utem.edu.my/id/eprint/4100/1/ICEI.pdf |