Robust multiple objects tracking using image segmentation and trajectory estimation scheme in video frames

Hsiao, Ying-Tung; Chuang, Chi‐Cheng; Lu, Yen-Ling; Jiang, Joe‐Air

doi:10.1016/j.imavis.2006.04.002

Cited by 30 publications

(16 citation statements)

References 12 publications

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“…on morphological border detection combined with growing region techniques (14), or in a combination of a growing segmentation and image enhancement steps based on the Bezier model (15). Moreover, some automatic segmentation approximations can be found, such as an algorithm based on a vague initial graph-based segmentation and a posterior merging multiregion stage, where a modification of the Fischer criteria is used (16).…”

Section: Laparoscopic Video Analysis: Literature Overviewmentioning

confidence: 99%

Laparoscopic video analysis for training and image-guided surgery

Sánchez-González

Cano

García

et al. 2011

Minimally Invasive Therapy & Allied Technologies

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Automatic analysis of Minimally Invasive Surgical video has the potential to drive new solutions for alleviating needs of safe and reproducible training programs, objective and transparent evaluation systems and navigation tools to assist surgeons and improve patient safety. Surgical video is an always available source of information, which can be used without any additional intrusive hardware in the operating room. This paper is focused on surgical video analysis methods and techniques. It describes authors' contributions in two key aspects, the 3D reconstruction of the surgical field and the segmentation and tracking of tools and organs based on laparoscopic video images. Results are given to illustrate the potential of this field of research, like the calculi of the 3D position and orientation of a tool from its 2D image, or the translation of a preoperative resection plan into a hepatectomy surgical procedure using the shading information of the image. Research efforts are required to further develop these technologies in order to harness all the valuable information available in any video-based surgery.tool tracking, organ reconstruction

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Section: Laparoscopic Video Analysis: Literature Overviewmentioning

confidence: 99%

Laparoscopic video analysis for training and image-guided surgery

Sánchez-González

Cano

García

et al. 2011

Minimally Invasive Therapy & Allied Technologies

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“…Since, the edge is a prominent feature of an image; it is the front-end processing stage in object recognition and image understanding system. The detection results benefit applications such as automatic target recognition [3], medical image applications [4], and detection of video changes [5].…”

Section: Introductionmentioning

confidence: 99%

New Method Based on Multi-Threshold of Edges Detection in Digital Images

Ashour¹,

El-Sayed²,

Waheed³

et al. 2014

IJACSA

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“…Since, the edge is a prominent feature of an image; it is the front-end processing stage in object recognition and image understanding system. The detection results benefit applications such as optical character recognition [2], infrared gait recognition [3,4], automatic target recognition [5], detection of video changes [6], and medical image applications [7].…”

Section: Introductionmentioning

confidence: 99%

Novel Approach of Edges Detection for Digital Images Based On Hybrid Types of Entropy

El-Sayed¹,

Bahgat²,

Abdel‐Khalek³

2013

Appl. Math. Inf. Sci.

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Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Most of the classical methods for edge detection are based on the first and second order derivatives of gray levels of the pixels of the original image. These processes give rise to the exponential increment of computational time. This paper shows the new algorithm based on both the Tsallis entropy and the Shannon entropy together for edge detection using split and merge technique. The objective is to find the best edge representation and minimize the computation time. A set of experiments in the domain of edge detection are presented. An edge detection performance compared to the previous classic methods, such as Canny, LOG, and Sobel. Analysis show that the effect of the proposed method is better than those methods in execution time and also is considered as easy implementation

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Robust multiple objects tracking using image segmentation and trajectory estimation scheme in video frames

Cited by 30 publications

References 12 publications

Laparoscopic video analysis for training and image-guided surgery

Laparoscopic video analysis for training and image-guided surgery

New Method Based on Multi-Threshold of Edges Detection in Digital Images

Novel Approach of Edges Detection for Digital Images Based On Hybrid Types of Entropy

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