Object Detection in a Video
DOI:
https://doi.org/10.61841/thnmgs14Keywords:
Object Detection, Computer Vision, Single Shot Detector (SSD), OpenCVAbstract
Object Detection and classification are the successful applications of image analysis and algorithm-based
understanding that can be applied to an image or on a video related to computer vision in biometric research. It has
enormous application value and market potential which involves deep learning and OpenCV techniques. OpenCV and python
programming development is used for designing real face recognition systems. It provides access to machine-based in-depth
analysis of a person's facial features. The main algorithm used for detecting the identity is the SSD algorithm. All in all, the
machine successfully identifies any entity by using the combination of SSD and MobileNets. The detection module, training
module and recognition module are the three major modules that are involved in the facial recognition and detection
process. The main concept of our project is to train the model with some datasets with various identities and then test the
model. The model will detect and recognize the identities of faces which are previously trained. This will result in image
classification along with the localization. It will help to detect whether the person or the object which we a researching
for, is present or not in that image or a video.
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References
1. https://honingds.com/blog/ssd-single-shot-object- detection-mobilenet-opencv/
2. A real time object detection algorithm for a video, Shengyu Lua, Beizhan Wanga, Hongji Wanga,
Lihao Chenb, Ma Linjiana, Xiaoyan Zhangc, 19 july 2019
3. A review and an approach for object detection in an image, Kartik Umesh Sharma and Nileshsingh V. Thakur, january,2017
4. [https://www.researchgate.net/publication/312037041_A_review_and_an_approach_for_object_detection_i n_images]
5. A Review of Detection and Tracking of Object from Image and Video Sequences, Mukesh Tiwari,
Dr. RakeshSinghai, [https://ripublication.com/ijcir17/ijcirv13n5_07.pdf]
6. Object Detection: Current and Future Directionns, Rodrigo Verschaeand Javier Ruiz-del-Solar,
December.
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