Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Object Detection and Tracking for Computer- Vision Applications

Author : Rojasvi G.M 1 Dr Anuradha S G 2

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Date of Publication :18th April 2018

Abstract: Object tracking is to estimate locations of target in an image sequence, it is the most challenging aspect in the computer vision applications with difficulties that arise due to intrinsic, extrinsic factors like deformation, camera motion, motion blur. Object tracking plays vital role in human-computer interaction, surveillance, robotics and overcomes practical problems of disturbance and effective noise. Object detection is the task of identifying the physical movement of an object in a given region. It is challenging role to detect the shape of the object as dynamic scene changes accordingly.

Reference :

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    1. Kulchandani , Jaya S., and Kruti J. Dangarwala. "Moving object detection: Review of recent research trends. “Pervasive Computing (ICPC), 2015 International Conference on. IEEE, 2015.
    2. Manchanda, Sumati, and Shanu Sharma. "Analysis of computer vision based techniques for motion detection ." Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference”. IEEE, 2016.
    3. Reddy, K. Rasool, K. Hari Priya, and N. Neelima. "Object Detection and Tracking--A Survey. “Computational Intelligence and Communication Networks (CICN), 2015 International Conference on. IEEE, 2015.
    4. SG, Anuradha, K. Karibasappa, and B. Eswar Reddy. "VIDEO SEGMENTATION FOR MOVING OBJECT DETECTION USING LOCAL CHANGE & ENTROPY BASED ADAPTIVE WINDOW THRESHOLDING”.
    5. Singh, Sanjay, et al. Moving object tracking using object segmentation. International Conference on Advances in Information and Communication Technologies. Springer Berlin Heidelberg, 2010
    6. Moreland , Thomas B., and Erik Granum. "A survey of computer vision-based human motion capture." Computer vision and image understanding 81.3 (2001): 231-268.
    7. Manikandan, R., and R. Ramakrishnan. "Human object detection and tracking using background subtraction for sports applications." International Journal of Advanced Research in Computer and Communication Engineering 2.10 (2013): 4077-4080.
    8. Danelljan, Martin, et al. "Adaptive color attributes for real-time visual tracking." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014.
    9. Majumder, Shibarchi, and Rahul Shankar. "Moving object tracking from moving platform." Signal Processing and Integrated Networks (SPIN), 2014 International Conference on. IEEE, 2014.
    10. Prutha, Y. M., and S. G. Anuradha. "Morphological image processing approach of vehicle detection for realtime traffic analysis." Int. J. Eng. Res. Technol 3.5 (2014): 2278-0181.

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