UAV Traffic Patrolling via Road Detection and Tracking in Anonymous Aerial Video Frames

Automatic target tracking is a challenging task in video surveillance applications. Here, an offline target-tracking system in video sequences using Discrete Wavelet Transform is presented. The proposed algorithm uses co-occurrence features, derived from sub-bands of discrete wavelet transformed sub-blocks, obtained from individual video frames, to identify a seed in the frame. Then, the region-growing algorithm is applied to detect and track the target. The results of the proposed target detection and tracking system in video sequences are found to be satisfactory. The effectiveness of the target-tracking algorithm has been proved as the target gets detected, irrespective of size of the target, perspective view and cluttered environment.

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Applications of Image Processing in Laparoscopic Surgeries

Computer Vision ◽

10.4018/978-1-5225-5204-8.ch063 ◽

2018 ◽

pp. 1518-1544

Author(s):

Toktam Khatibi ◽

Mohammad Mehdi Sepehri ◽

Pejman Shadpour ◽

Seyed Hessameddin Zegordi

Keyword(s):

Image Processing ◽

Soft Tissue ◽

Video Processing ◽

Position Estimation ◽

Surgical Instrument ◽

Tissue Segmentation ◽

Detection And Tracking ◽

Video Frames ◽

High Level ◽

Laparoscopic Videos

Laparoscopy is a minimally-invasive surgery using a few small incisions on the patient's body to insert the tools and telescope and conduct the surgical operation. Laparoscopic video processing can be used to extract valuable knowledge and help the surgeons. We discuss the present and possible future role of processing laparoscopic videos. The various applications are categorized for image processing algorithms in laparoscopic surgeries including preprocessing video frames by laparoscopic image enhancement, telescope related applications (telescope position estimation, telescope motion estimation and compensation), surgical instrument related applications (surgical instrument detection and tracking), soft tissue related applications (soft tissue segmentation and deformation tracking) and high level applications such as safe actions in laparoscopic videos, summarization of laparoscopic videos, surgical task recognition and extracting knowledge using fusion techniques. Some different methods have been proposed previously for each of the mentioned applications using image processing.

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Applications of Image Processing in Laparoscopic Surgeries

Advances in Healthcare Information Systems and Administration - Handbook of Research on Data Science for Effective Healthcare Practice and Administration ◽

10.4018/978-1-5225-2515-8.ch014 ◽

2017 ◽

pp. 317-343

Author(s):

Toktam Khatibi ◽

Mohammad Mehdi Sepehri ◽

Pejman Shadpour ◽

Seyed Hessameddin Zegordi

Keyword(s):

Image Processing ◽

Soft Tissue ◽

Video Processing ◽

Position Estimation ◽

Surgical Instrument ◽

Tissue Segmentation ◽

Detection And Tracking ◽

Video Frames ◽

High Level ◽

Laparoscopic Videos

Laparoscopy is a minimally-invasive surgery using a few small incisions on the patient's body to insert the tools and telescope and conduct the surgical operation. Laparoscopic video processing can be used to extract valuable knowledge and help the surgeons. We discuss the present and possible future role of processing laparoscopic videos. The various applications are categorized for image processing algorithms in laparoscopic surgeries including preprocessing video frames by laparoscopic image enhancement, telescope related applications (telescope position estimation, telescope motion estimation and compensation), surgical instrument related applications (surgical instrument detection and tracking), soft tissue related applications (soft tissue segmentation and deformation tracking) and high level applications such as safe actions in laparoscopic videos, summarization of laparoscopic videos, surgical task recognition and extracting knowledge using fusion techniques. Some different methods have been proposed previously for each of the mentioned applications using image processing.

Download Full-text