Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering
Call For Paper : Vol 11, Issue 08, August 2024

ISSN : 2394-6849 (Online)

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Detection of Abnormal Human event using SURF Algorithm with HOI

Author : Shruti Basavaraj Kadari 1 Chitra M 2

PDF

Date of Publication :8th August 2017

Abstract: Detection of complex human occasions in recordings and pictures is a testing issue of PC vision. The difficulty lies in developing compelling association between human exercises and particular occasions. In this paper we concentrate on unsafe human activity, particularly when individuals with handheld weapons before they utilize it. By presenting Human-Question- Interaction model, we can set up techniques and frameworks to perceive occasions that are dangerous. In this paper, the procedure of occasion comprehension depends on recognizing dangerous human events predicted by the human body parts. Using a developed dangerous human event date set, we demonstrate our model and framework beat ordinary occasion order approaches in efficiency.

Reference :

  1. [1] Xu, Zhaozhuo, et al. "Dangerous human event understanding using human-object interaction model." Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on. IEEE, 2015.J.

    [2] Wohler, C., Ulrich Kressel, and J. K. Anlaur. "Pedestrian recognition by classification of image sequences-global approaches vs. local spatio-temporal processing." Pattern Recognition, 2000. Proceedings. 15th International Conference on. Vol. 2. IEEE, 2000.

    [3] Curio, Cristóbal, et al. "Walking pedestrian recognition." IEEE Transactions on intelligent transportation systems 1.3 (2000): 155-163.

    [4] Bertozzi, Massimo, et al. "Pedestrian detection for driver assistance using multiresolution infrared vision." IEEE transactions on vehicular technology 53.6 (2004): 1666-1678.

    [5] Amit, Yali, and Alain Trouvé. "Pop: Patchwork of parts models for object recognition." International Journal of Computer Vision 75.2 (2007): 267-282.

    [6] Crandall, David, Pedro Felzenszwalb, and Daniel Huttenlocher. "Spatial priors for part-based recognition using statistical models." Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. Vol. 1. IEEE, 2005.

    [7] Bourdev, Lubomir, and Jitendra Malik. "Poselets: Body part detectors trained using 3d human pose annotations." Computer Vision, 2009 IEEE 12th International Conference on. IEEE, 2009.

    [8] Weber, Markus, Max Welling, and Pietro Perona. "Towards automatic discovery of object categories." Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on. Vol. 2. IEEE, 2000.

    [9] Fischler, Martin A., and Robert A. Elschlager. "The representation and matching of pictorial structures." IEEE Transactions on computers 100.1 (1973): 67-92.

    [10] Papageorgiou, Constantine P., Michael Oren, and Tomaso Poggio. "A general framework for object detection." Computer vision, 1998. sixth international conference on. IEEE, 1998.

    [11] Dalal, Navneet, and Bill Triggs. "Histograms of oriented gradients for human detection." Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. Vol. 1. IEEE, 2005.

    [12] Michael, Hao Zhang Alexander C. Berg, and Maire Jitendra Malik. "SVMKNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition." Computer Science Division, EECS Department Univ. of California, Berkeley, CA 94720 (2007).

    [13] Prest, Alessandro, Cordelia Schmid, and Vittorio Ferrari. "Weakly supervised learning of interactions between humans and objects." IEEE Transactions on Pattern Analysis and Machine Intelligence 34.3 (2012): 601-614.

    [14] Desai, Chaitanya, Deva Ramanan, and Charless Fowlkes. "Discriminative models for static human-object interactions." Computer vision and pattern recognition workshops (CVPRW), 2010 IEEE computer society conference on. IEEE, 2010.

    [15] Yao, Bangpeng, and Li Fei-Fei. "Grouplet: A structured image representation for recognizing human and object interactions." Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2010.

    [16] Yao, Bangpeng, and Li Fei-Fei. "Recognizing human-object interactions in still images by modeling the mutual context of objects and human poses." IEEE Transactions on Pattern Analysis and Machine Intelligence 34.9 (2012): 1691-1703.

    [17] Yao, Bangpeng, Aditya Khosla, and Li FeiFei. "Combining randomization and discrimination for fine-grained image categorization." Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011.

    [18] Delaitre, Vincent, Ivan Laptev, and Josef Sivic. "Recognizing human actions in still images: a study of bag-of-features and part-based representations." BMVC 2010-21st British Machine Vision Conference. 2010.

    [19] Sharma, Gaurav, Frédéric Jurie, and Cordelia Schmid. "Discriminative spatial saliency for image classification." Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012.

    [20] Andriluka, Mykhaylo, Stefan Roth, and Bernt Schiele. "Pictorial structures revisited: People detection and articulated pose estimation." Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2009.

    [21] Sapp, Benjamin, Alexander Toshev, and Ben Taskar. "Cascaded models for articulated pose estimation." Computer Vision–ECCV 2010 (2010): 406-420.

    [22] Gupta, Abhinav, Aniruddha Kembhavi, and Larry S. Davis. "Observing human-object interactions: Using spatial and functional compatibility for recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence 31.10 (2009): 1775-1789.

    [23] Maji, Subhransu, Lubomir Bourdev, and Jitendra Malik. "Action recognition from a distributed representation of pose and appearance." Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011.

    [24] Delaitre, Vincent, Ivan Laptev, and Josef Sivic. "Recognizing human actions in still images: a study of bag-of-features and part-based representations." BMVC 2010-21st British Machine Vision Conference. 2010.

    [25] Oliva, Aude, and Antonio Torralba. "Modeling the shape of the scene: A holistic representation of the spatial envelope." International journal of computer vision 42.3 (2001): 145-175.

    [26] Gupta, Abhinav, Aniruddha Kembhavi, and Larry S. Davis. "Observing human-object interactions: Using spatial and functional compatibility for recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence 31.10 (2009): 1775-1789.

    [27] Everingham, Mark, et al. "Pascal visual object classes challenge results." Available from http://www. pascalnetwork. org (2005).


Recent Article