PATENT CLAIM ANALYSIS

Application Number: 15973114
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["382", "100000"]

Abstract:
Techniques and systems are provided for maintaining blob trackers for one or more video frames. For example, a blob tracker is identified for a current video frame. The blob tracker is associated with a blob detected for the current video frame. The blob includes pixels of at least a portion of one or more objects in the current video frame. A current characteristic of pixels in a region of the current video frame associated with the blob tracker is determined. A previous characteristic of pixels in a region of a previous video frame associated with the blob tracker is also determined. A difference is determined between the current characteristic and the previous characteristic, and a status of the blob tracker is determined based on the determined difference. The status of the blob tracker indicating whether to maintain the blob tracker for the one or more video frames.

Claim (Index 28):
The apparatus of  claim 17 , wherein the processor is further configured to:\n determine correlation between color components of the current video frame and color components of a mean picture; and wherein the status of the blob tracker is determined based on the determined difference and the determined correlation.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 93.0
- Lexical Diversity: 3.01923
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15973090', '15645455', '15645555', '15384802', '15400118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4685120891536024
- 35 USC 102 Novelty (BERT): 0.5957722764456805
- Combined Prediction Score: 0.4812381078828102
- Mean Citation Score: 476.93378200000006
- Max Citation Score: 549.0834
- Similarity Product: 453.3544274160146

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test